Hire the best Big Data developers

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Clients rate Big Data developers
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4.8/5
based on 1,697 client reviews
  • $38 hourly
    💡 If you want to turn data into actionable insights or planning to use 5 V's of big data or if you want to turn your idea into a complete web product... I can help. 👋 Hi. My name is Prashant and I'm a Computer Engineer. 💡 My true passion is creating robust, scalable, and cost-effective solutions using mainly Java, Open source technologies. 💡During the last 11 years, I have worked with, 💽Big Data______🔍Searching____☁️Cloud services 📍 Apache Spark_📍ElasticSearch_📍AWS EMR 📍 Hadoop______📍Logstash_____📍AWS S3 📍 HBase_______📍Kibana_______📍AWS EC2 📍 Hive_________📍Lucene______ 📍AWS RDS 📍 Impala_______📍Apache Solr__📍AWS ElasticSearch 📍 Flume_______📍Filebeat______📍AWS Lambda 📍 Sqoop_______📍Winlogbeat___📍AWS Redshift 5-step Approach 👣 Requirements Discussion + Prototyping + Visual Design + Backend Development + Support = Success! Usually, we customize that process depending on the project's needs and final goals. How to start? 🏁 Every product requires a clear roadmap and meaningful discussion to keep everything in check. But first, we need to understand your needs. Let’s talk! 💯 Working with me, you will receive a modern good looking application that will meet all guidelines with easy navigation, and of course, you will have unlimited revisions until you are 100% satisfied with the result. Keywords that you can use to find me: Java Developer, ElasticSearch Developer, Big Data Developer, Team lead for Big Data application, Corporate, IT, Tech, Technology.
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    ETL
    Data Visualization
    Amazon Web Services
    SQL
    Amazon EC2
    ETL Pipeline
    Data Integration
    Data Migration
    Logstash
    Apache Kafka
    Elasticsearch
    Apache Hadoop
    Apache Spark
    Core Java
  • $70 hourly
    ✅ AWS Certified Solutions Architect ✅ Google Cloud Certified Professional Data Engineer ✅ SnowPro Core Certified Individual ✅ Upwork Certified Top Rated Professional Plus ✅ The author of Python package for cryptocurrency market Currency.com (python-currencycom) Specializing in Business Intelligence Development, ETL Development, and API Development with Python, Apache Spark, SQL, Airflow, Snowflake, Amazon Redshift, GCP, and AWS. Accomplished lots of complicated and not very projects like: ✪ Highly scalable distributed applications for real-time analytics ✪ Designing data Warehouse and developing ETL Pipelines for multiple mobile apps ✪ Cost optimization for existing cloud infrastructure But the main point: I have a responsibility for the final result.
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    Data Scraping
    Snowflake
    ETL
    BigQuery
    Amazon Redshift
    Data Engineering
    Cloud Architecture
    Google Cloud Platform
    ETL Pipeline
    Python
    Amazon Web Services
    Apache Airflow
    SQL
    Apache Spark
  • $30 hourly
    Learning is also a kind of earning. So, I learned Web analytics and completed 200+ projects on Fiverr and Upwork. Then I fell in love with Data Science and learned its all topics by heart along with a master degree in Data Science :) The future belongs to those who learn more and more skills so I believe that when we stop learning, we start dying. However, my existing skills along with a short description are given below. Web Analytics: Certified, experienced and best at web analytics using Matomo and Google Analytics. Web Development: PHP frameworks are my home turf and I have completed so many projects in Opencart, Codeigniter, Laravel, and WordPress. Please have a look at the portfolio to see the projects. Web scraping & crawling: Thanks to the Search Engine development project for which I crawled & scraped 1 million web documents :P so after that I always see myself doing scraping, crawling, and automation-related projects. For automation, I use selenium, beautiful soup, and Python. APIs development: As Python is in my blood so before data science, I used to work on APIs development and web scraping using Python. Big data: I have rich experience in the Hadoop eco-system using Apache Hadoop, Apache Hbase, Apache Nutch, Apache Hive, Apache Solr, etc. The detail is given below. ** Apache Hbase: How to store and retrieve data from Hbase and how to use it with Hadoop and Apache Nutch. ** Apache Nutch: How do search engines work? How to develop your own search engine using Apache Nutch as a crawler, Customization of Nutch at all phases, Tuning of Nutch for effective crawl, and a lot more. ** Apache Solr: How to use Solr for indexing purposes, How to use it in distributed mode, how to do indexing, how to analyze indexed data using different Solr clients. Matomo analytics: There was a time when I was the only Matomo related developer on Fiverr and Upwork. I have very rich experience in following tasks. ** Matomo Installation, configuration, and integration with the website. ** Matomo customization like custom dashboard development i.e., change look & feel different and you can claim that it is your custom product. ** Custom event tracking with/without Matomo tag manager ** Custom variables/dimensions, Goals, and conversions tracking. ** Conversion rate, custom reporting, and GeoIP-based correct location tracking. ** Expert to fetch tracking data through Matomo API to develop a custom dashboard or to display insights on another website.
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    RESTful API
    Machine Learning
    Data Analysis
    Google Analytics
    Database Design
    Web Analytics
    MySQL
    DApps
    Piwik PRO
    ETL Pipeline
    Python
    Microsoft Excel
    Data Scraping
    Data Mining
  • $200 hourly
    Tableau Visionary (2020, 2021, and 2022) for Excellence in Teaching, Mastery of the Platform, and Collaborator. I have worked in Business Intelligence, Data Management and Digital Transformation since 2004 and dedicated the last seven years to help people get the most out of their Tableau investments; I can assist you with all aspects of Tableau from developing dashboards, administrating and setting up your enterprise infrastructure, to developing customer Extensions or other technical integrations. If you require support in your projects, do get in touch.
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    Project Management
    Data Science
    Stakeholder Management
    Data Modeling
    Data Warehousing
    Business Intelligence
    Data Visualization
    API Integration
    SQL
    Tableau
    Data Analysis
  • $36 hourly
    If you're considering a development project, talk to our team. We'll walk you through a brainstorming session where we can scope your project and explain how ... _Entrepreneurs: Have a big idea but don't have an engineering team in place already? Let us be your one-stop-shop. We'll work together with you to evaluate your needs, develop a game-plan and create a product you can be proud of. _Startups: Need to augment your team with highly specialized members who can integrate seamlessly with you? We can provide an extremely talented, focused team that will work alongside you for incredible results _Enterprises: Can't find the internal resources for a new project or request? Let us help. We understand the scalability and security concerns that come with an enterprise system. -Experience in coding/development of front-end as well as back-end technologies. -Expertise in designing and developing applications using MVC, ASP.NET, C#, VB.NET, SQL SERVER 2005/2008/2012, HTML 4/5, Java Script, Win Forms, Entity Framework & Angular.JS. Good experience in XML and XSLT transformation. -Expertise in using Language Integrated Query (LINQ) for data manipulation. Good experience in development of reports using Crystal Reports, SSRS, and Data Reports. -Experience in the complete life cycle of project development (SDLC) including System Analysis, Design, Development, Testing and Deployment. -Proficient in Model-View-Controller (MVC) architectures using Rails framework. -Pervasive experience in implementing agile development methodology and scrum for the project. -Developed well-tested, readable, reusable UI interface using Ruby, JavaScript, HTML and CSS on both Windows and Linux systems. -Experience in implementing Rails Migrations
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    iOS Development
    Android
    AWS IoT Core
    Swift
    Node.js
    Ruby on Rails
    Machine Learning
    React
    OpenCV
    GPT-3
    ArcGIS
    AngularJS
    React Native
    C++
    Java
  • $40 hourly
    I am an experienced and proficient web scraper using Python to obtain very large amounts of data from a variety of online sources. I do fixed-price work and have successfully pulled data from 100's of sites with examples being business locations, directories, public information, IMDB movie info, sports-reference stats, music charts, Forbes company rankings/info, ESPN player pages, Google search results, as well as hundreds of other queries of all genres. You can see some of my results via the data sets which are used on my big data quiz site, hugequiz.com. I have been able to retrieve data from articles, tables, lists, recursively via search results, from sites with AJAX/Javascript, and even when authentication is required. Any project you have I would be able to discuss and preview the site(s) which need to be scraped in order to provide you the output you are looking for in .CSV or other format.
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    Data Scraping
    Python
    Microsoft Excel
  • $40 hourly
    My clients benefit from the premium data analysis and scientific writing with rapid turnarounds ⚡ — IBM certified expert in statistics and research with dozens of scientific publications! The World Health Organization (WHO) is only one of many globally recognized organizations I have collaborated with over my 5 years of experience in data science and scientific research. Combination of analytical skills with medical knowledge allowed me to bring creative research ideas out of health data leading to 20+ publications in prestigious journals such as The Lancet and The BMJ. ⭐ Why me? ✔️ IBM Certified Data Scientist & Medical Doctor ✔️ Python Programmer with 5 Years of Experience ✔️ Author of Multiple Research Articles in Prestigious Journals (e.g. The Lancet) ✔️ World Health Organization (WHO) Collaborator ✔️ Rapid Turnarounds & Extremely Responsive ✔️ 100% Job Success Score & Great Reviews
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    PySpark
    Scientific Writing
    Data Analysis
    Statistics
    Scientific Research
    Data Science
    Data Visualization
    Machine Learning
    Statistical Analysis
    SQL
    Python
    Data Scraping
    Apache Spark
    Tableau
  • $120 hourly
    Hello, If you are looking for database architecture, DBA work (database migration, database optimization), data warehousing, data engineering, and data analysis expertise, you have come to the right place. Data Strategy Our data experts design a custom-tailored data strategy to future-proof your business and take advantage of new opportunities and technologies that give your business a competitive edge. With a clear data strategy roadmap, we help your business turn your data into actionable insights that help reduce costs, improve efficiency, and increase ROI. Data Management Our Data Management consulting services provide a set of practices, processes, and technologies to help you acquire, store, organize, maintain, and ensure the quality of your data within your organization. From the architecture and structuring of your data to the storage of data in your data warehouse, and finally, the data analytics and visualization to gain insights from your data, our data management services play a crucial role in implementing and executing your data strategy effectively. Database Consulting Our consulting services for databases cover a broad range of offerings designed to assist your organization in managing, optimizing, and maximizing the potential of your database systems. We offer a variety of database solutions, including database architecture, database performance optimization, database migration, and database high availability. Our team has expertise in various database technologies, such as Mysql Proxy, MariaDB, MS-SQL, MongoDB, Clickhouse, AWS Aurora MySQL, AWS RDS Mysql, SingleStore, Postgres, Snowflake, and AWS Redshift. Data Architecture Modern data architectures have become essential for business strategic decision-making and competitive advantage. Our consulting services help your business leverage your data with an efficient blueprint. We use DBT and have experience with FiveTran, Airbyte, and Stitch data to create a single source of truth and modern analytics workflow. Data Warehousing We offer guidance on choosing and implementing data warehousing solutions, including traditional data warehouses or cloud-based options like Snowflake and Amazon Redshift. Our approach to data warehousing includes critical pillars such as Data Integration, Data Quality, Dimensional Modeling, BI Integration and transformation, and User Accessibility. Our Data Warehousing consulting services are sought-after organizations like yours that need an organized data management plan for their data strategy. Data Integration Revamp your data processes, enhance data quality, and streamline data flow within your ecosystem with Data-Sleek's top-notch data integration consulting services. Our team of experts will help you unlock the true potential of your data by leveraging cutting-edge technologies and best practices. Contact us today to learn how we can confidently empower your business to make data-driven decisions. Data Transformation Our team is confident in our ability to provide top-notch full-scale data transformation services that will help you modernize and unleash the full potential of your data systems. With our cutting-edge technologies and expertise, you can take your data to the next level and stay ahead of the competition. Let's work together to elevate your data systems and achieve your goals confidently. Data Migration Data-Sleek offers data migration consulting services to transfer your data without any downtime. We can assist you in transitioning from legacy systems to new platforms, migrating to cloud services, or adopting modern applications. Our team of experts can also help you consolidate your data and improve accessibility and data consistency. A little bit about Franck, Data-Sleek CEO: I have over 30 years of expertise in database technologies and data modeling. As a Sr MySQL DBA (15 years of XP), I have been involved in various projects for Fortune 500 companies and independent businesses in the entertainment industry, and I lead projects for database management for Acura, Variety, Lexus, ChromeRiver, Rubicon Project, TrueCar, ZipRecruiter, Wag, and recently Hulu. In 2018, I started teaching a Data Management class at UCLA Anderson where I could share my professional experience with the students and use the latest database technologies for Big Data and Business Intelligence, such as Snowflake, DBT, Fivetran, and Singlestore.
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    Data Warehousing
    PostgreSQL
    Database Programming
    Amazon RDS
    MySQL
    MongoDB
    Database Optimization
    Amazon Web Services
    Data Modeling
    Snowflake
    dbt
    Data Visualization
    ETL Pipeline
    Data Engineering
    Tableau
    AWS Glue
  • $75 hourly
    ⭐⭐⭐ Expert-Vetted, top-1% talent on Upwork ⭐⭐⭐ Are you struggling to develop or optimize your R Shiny applications? If yes, then you are at the right place. As an experienced R Shiny developer and bioinformatician, I can help you develop, audit, or optimize your R/Shiny applications. With my expertise in UI/UX development and data science, I can provide custom solutions that are both functional and visually appealing. WHY ME ----- ✅ Over 12 years of programming experience in R and 8+ years of experience developing Shiny applications ✅ PhD in Plant Biology from UT Austin and over 6 years of postdoctoral research experience. ✅ Advanced and rapid developer of Shiny applications, with a flexible and adaptable approach that allows me to handle steep learning curves with reasonable time frames. ✅ My background in biology and bioinformatics, and the domain-specific knowledge necessary to develop software solutions will help to meet your specific business needs. WHAT I OFFER ----- ✅ R Shiny application development, audit, or optimization (base Shiny, Golem, or Rhino) ✅ R package development, audit, or optimization ✅ Plumber API development ✅ Bioinformatics pipeline development (Docker-based systems for deployment to AWS or GCP) ⭐ I am committed to going above and beyond for my clients and always strive to deliver high-quality projects on time and within budget. Have questions? I’m just a message away from you! 🤝
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    Statistical Analysis
    R
    SQL
    Machine Learning
    Git
    Microsoft Excel
    Data Mining
    R Shiny
    Data Science
    Docker
    Data Visualization
    Data Analysis
    Dashboard
    Bioinformatics
  • $20 hourly
    I am a Data Engineer specializing in: ⭐Workflow automation and management ⭐Web Scraping ⭐Database Design/Management and Workflow creation for small/large-scale data processing. My Experience: ✅ Worked on 300+ projects where I did the entire process of creating custom scripts in Python, Bash Script, JavaScript etc, creating databases, creating API, testing workflows, and managing them on the cloud. What sets me apart from other experts is my expertise and work experience involving: ✔️ Captcha bypass API integration. ✔️ Proxy integration. ✔️ Adherence to good practices to ensure robust and undetectable scrapers and automation tools. ✔️ Experience in large-scale data scraping/maintenance. ✔️ Frontend experience (React, WordPress, HTML, CSS, JavaScript) ✔️ Backend experience (Django, Flask, PHP, Python) ✔️ Data classification and machine learning (Price prediction models, Classification models) Expert in: ✔️Scrapy / Portia / Crawlera framework ✔️Pandas Dataframe for data analytics and database. ✔️Amazon AWS, Google Cloud, Digitalocean, Vultr, etc VPS services. ✔️SSH. FTP, SQL, Database, and backend development. ✔️Linux Servers (CentOS, Ubuntu, etc,) ✔️Django, Flask, WordPress, HTML, CSS, JavaScript, Python, MySQL, MongodB. Services I offer: ✔️ Web Scraping ✔️List Building ✔️Data Mining ✔️Web Search automation ✔️Lead Generation ✔️Excel / CSV / XML / JSON structured output from websites. I am flexible with my working hours and I am comfortable working with a team. Feel free to contact me if you have any project.
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    API Integration
    API
    Data Extraction
    Web Crawling
    List Building
    Lead Generation
    Flask
    Beautiful Soup
    Python
    Data Mining
    Scrapy
    pandas
    Data Scraping
    SQL
  • $110 hourly
    Ahmed Sherif has a great mix of Data Science and Engineering skills. He spends his time building and deploying cool ML and deep learning applications to the cloud. He has programming knowledge in Python, R and SQL, which he uses in conjunction with Spark to build out data and ML pipelines. He has additional programming knowledge in JavaScript, HTML, CSS, and D3.js to deploy web based visualizations. In 2016, Ahmed published his first book, 'Practical Business Intelligence'. It is a journey in developing BI solutions with open source software to help companies gain a competitive advantage. In 2018, he published his second book, Apache Spark Deep Learning Cookbook.
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    GitHub
    Amazon Web Services
    DevOps
    Microsoft Azure
    ETL
    Predictive Analytics
    SciPy
    pandas
    Machine Learning
    Keras
    PyTorch
    Azure Machine Learning
    Deep Learning
  • $30 hourly
    Seasoned data engineer with over 11 years of experience in building sophisticated and reliable ETL applications using Big Data and cloud stacks (Azure and AWS). TOP RATED PLUS . Collaborated with over 20 clients, accumulating more than 2000 hours on Upwork. 🏆 Expert in creating robust, scalable and cost-effective solutions using Big Data technologies for past 9 years. 🏆 The main areas of expertise are: 📍 Big data - Apache Spark, Spark Streaming, Hadoop, Kafka, Kafka Streams, HDFS, Hive, Solr, Airflow, Sqoop, NiFi, Flink 📍 AWS Cloud Services - AWS S3, AWS EC2, AWS Glue, AWS RedShift, AWS SQS, AWS RDS, AWS EMR 📍 Azure Cloud Services - Azure Data Factory, Azure Databricks, Azure HDInsights, Azure SQL 📍 Google Cloud Services - GCP DataProc 📍 Search Engine - Apache Solr 📍 NoSQL - HBase, Cassandra, MongoDB 📍 Platform - Data Warehousing, Data lake 📍 Visualization - Power BI 📍 Distributions - Cloudera 📍 DevOps - Jenkins 📍 Accelerators - Data Quality, Data Curation, Data Catalog
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    SQL
    AWS Glue
    PySpark
    Apache Cassandra
    ETL Pipeline
    Apache Hive
    Apache NiFi
    Apache Kafka
    Apache Hadoop
    Scala
    Apache Spark
  • $30 hourly
    My primary interest is working with data and building solutions to complex data problems. I can help with Data wrangling and modeling. I can help Perform custom ETL jobs and build data pipelines via Pyspark, AWS Glue, etc. With my rich data visualization and dashboarding experience, I can help develop insightful dashboards with robust KPI metrics, which are critical to business decision-making using R-shiny, Tableau, and PowerBI. In addition, I can help with related statistical tasks using Excel and R. I can help with building complex optimization models that help address various logistics and scheduling problems.
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    Data Modeling
    Dashboard
    A/B Testing
    Data Analysis
    Microsoft Power BI
    RStudio
    Data Visualization
    Microsoft Excel
    SQL
    Tableau
    Mathematics
    Linear Regression
    Python
  • $60 hourly
    Hello , I'm a Doctor specialized in Semantic web Technologies(XML,RDF,Ontology,...),.  I have experience with : - Algorithms and programming ( Web, Desktop & utilities ): with good experience with many programming languages: R, Java, JEE (JSP,Servlet,JSF,Primfaces,Richfaces), Javascript, Python, ... - Certificate of Specialization in Data Science and Big Data Analytics: statistics, data mining and machine learning algorithms. ( classification, clustering, prediction, & regression) - Web Scraping: Data Extraction from web pages. -Semantic Web Technologies: JENA Framework,OWL API, SPARQL,NEO4J,Database to Ontology Construction (D2R, R2O, Relational.OWL,Triplify,...). - Servers & Networks administration : VPS management, service configuration(dns,web, ..), Database management (SQL & NoSQL), Web hosting,... feel free to contact me. I always provide support after the contract ends! Regards.
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    Neo4j
    NodeJS Framework
    MongoDB
    JavaScript
    Knowledge Representation
    Data Analysis
    SPARQL
    RDF
    Graph Database
    OWL-S
    Knowledge Graph
    Ontology
    Machine Learning
    Natural Language Processing
  • $85 hourly
    I'm a Senior Data Scientist who has worked on a range of AI, Machine Learning, and Cybersecurity projects including deep learning, forecasting, recurrent and convolutional neural networks, financial prediction tools, natural language processing models and much more. In addition, I also have full-stack development experience working with customers worldwide. I'm knowledgeable in technologies such as Python, Tensorflow, Pytorch, Scikit-Learn, Keras, JavaScript, ReactJS, NodeJS, Pandas Numpy, SQL, and much more. I have helped build AI projects in a range of sectors, web applications for startups, implemented DS models for e-commerce leading to higher sales performance and retention initiatives along with overall DS and AI related options for businesses of all sizes.
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    Data Analysis
    Security Engineering
    Artificial Intelligence
    Machine Learning
    Data Science
    TensorFlow
    Python
    JavaScript
    PyTorch
  • $25 hourly
    I am a data engineer expert with over than 5 years experience in data ingestion, integration and manipulation. Till date, I have done many projects in data engineering and big data. I worked on business analytics and telco analytics, i used multy data platforms and framework such as Cloudera data platform, Nifi, R studio, Spark, Hadoop, Kafka ... If this is what you want, then get in touch with me
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    Cloud Engineering
    Cloudera
    Apache Hadoop
    Data Warehousing
    Apache NiFi
    Linux
    Apache Spark
    Data Lake
    Data Analysis
    SQL
    Business Intelligence
    Scala
    Apache Hive
    Python
  • $65 hourly
    * Started programming at 13 (now 34) * Co-founded 4 software startups. * 21yr fast forward: I have been a Programmer / DevOps / Software Architect / CTO * Realized that Artificial Intelligence, Big Data and Scientific Computing projects turn me ON. I have experience and love for creating simple & complex : 1. Web Applications (in Node.js and React.js) 2. Decentralized Applications (built on Ethereum, Hyperledger and EOS). Bitcoin too 3. Internet Crawlers - (built on Apache Hadoop, Apache Nutch, Apache Storm) 4. Hardware Interfacing IoT Apps 5. iOS & Android Mobile Apps 6. Windows, Mac Desktop Applications 8. Interactive Voice Response (IVR) Systems 9. High Performance Computing​ GPGPU​ programs
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    IBM Watson
    Ontology
    Robotic Process Automation
    Dialogflow
    Data Visualization
    Natural Language Processing
    Graph Database
    spaCy
    Web Crawling
    Artificial Intelligence
    Chatbot Development
    Data Science
  • $55 hourly
    I am a professional python and vba developer with 10+ years track of records. I personally made at Upwork more than 120 projects towards automation, scraping and data science. Moreover, I represent the team of Ukrainian web developers and data engineers focused on data driven solutions . We are experienced at: 📌 Web solutions (frontend and backend development) 📌 Data Science and Analytics 📌 Data integration and management 📌 eCommerce automation (price and inventory managment) 📌 Process Automation We use Agile approach to ensure great products delivery. As our benefits, we provide the guarantee, NDA signing and post-service for delivered products. Our Software Stack is : For Web Development and Front-End: JavaScript | jQuery| React.JS | Wordpress | Angular.js | Bootstrap | Html | CSS Analytics and Back-End: Python | Flask | Django | PostgreSQL | MongoDB | R | PHP | SQL | VBA | Microsoft Office Machine learning and Data science : Tensorflow | IBM Watson | Google , Facebook and AWS products | NLTK | Pandas | Numpy | Scikit-learn Want to work together? I’d love to hear from you.
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    Data Lake
    API Integration
    Django
    Web Crawling
    Apache Kafka
    Data Mining
    Data Analysis
    Data Warehousing & ETL Software
    Web Application
    Application Integration
    React
    Amazon EC2
    Snowflake
    Data Scraping
    RESTful Architecture
    AWS Lambda
    ETL Pipeline
    Machine Learning
    Databricks Platform
    Data Science
    Python
  • $20 hourly
    I am PhD scholar in Statistics. I have ten years of experience as Statistical Analyst. I work efficiently and without errors. My objective is to work with honor and best result to satisfy my client.
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    Survey Design
    Tutoring
    Mathematics
    Probability Theory
    Quantitative Analysis
    Logistic Regression
    Linear Regression
    Data Science
    Statistical Analysis
    Hypothesis Testing
    Statistics
    R
    Microsoft Excel
  • $40 hourly
    I am a highly skilled Full Stack Developer specializing in MERN Stack and SaaS Development. With a strong background in MongoDB, Express.js, React, Node.js, PHP, HTML, CSS, TypeScript, JavaScript and iOS, Android, Flutter, I bring a wealth of expertise in web and mobile application development. Key Skills: 🔸MERN Stack: Proficient in MongoDB, Express.js, React, and Node.js for seamless full-stack development. 🔸SaaS Development: Experienced in creating robust Software as a Service (SaaS) solutions tailored to your business needs. 🔸Web Application Development: Adept at crafting scalable and efficient web applications from concept to deployment. 🔸Back-End Development: Expert in Node.js for server-side development, ensuring smooth functionality and high performance. 🔸Front-End Development: Skilled in React and Angular for creating dynamic, responsive, and user-friendly interfaces. 🔸AWS (Amazon Web Services): Well-versed in deploying and managing applications on AWS for scalability and reliability. 🔸Docker: Proficient in containerization with Docker, facilitating easy deployment across various environments. 🔸Database Expertise: Extensive experience with MySQL and MongoDB for effective data management. 🔸RESTful API: Expertise in designing and implementing RESTful APIs for seamless communication between components. Why Choose Me: 🔸Full-Stack Proficiency: Equipped to handle both back-end and front-end development, ensuring a comprehensive approach to your project. 🔸Innovative Solutions: Dedicated to delivering creative and efficient solutions to meet your specific business requirements. 🔸Collaborative Approach: I believe in transparent communication and collaboration, keeping you involved throughout the development process. If you are seeking a skilled Full Stack Developer with a focus on MERN Stack, SaaS Development, and a comprehensive set of development tools, I am here to bring your vision to life. Let's discuss how I can contribute to the success of your project! Thank you for going through my profile.
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    Angular
    Website
    MERN Stack
    Data Scraping
    Web Development
    MEAN Stack
    Android App Development
    Mobile App Development
    iOS Development
    MongoDB
    Node.js
    React
    Amazon Web Services
    PHP
    JavaScript
  • $138 hourly
    Cornell/MIT educated data scientist with financial modeling and digital analytics experience at Fortune 500 companies. • Academic experience as TA/RA at MIT and Cornell University. • Advanced R, Python, SPSS, SAS, Tableau, SQL, MPlus. Some of the projects I have done are: • Time series analysis, financial forecasting and other econometric methods • ANOVA, MANOVA, GLM, SEM in social sciences • Biostatistics and medical research including analysis of clinical trials • Regression modeling • Machine learning and various statistical models in big data • Valuation, investment analysis and financial modeling in the investment banking industry • Risk modeling • Computer vision • Digital analytics such as campaign analysis for display (Facebook Ads, Google Ad Manager, etc.), customer insights (Facebook Insights), lead tracking (CallRail), SEM/PPC (Google Ads), and web traffic (Google Analytics) analysis
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    Regression Testing
    Statistics
    Product Analytics
    Google Ads
    Data Analysis
    Biostatistics
    Marketing Analytics
    Econometrics
    Neural Network
    Time Series Analysis
    Tableau
    Python
    R
    SAS
  • $50 hourly
    Passionate about Graph databases and I have been working in Neo4J and OrientDB Graphs since 2015 and have delivered many projects including social networks as well as Medical Knowledge Graphs related to Neurological Networks. Have good expertise in Graph Data Modeling, Query tuning, Ontology. Worked as Solution Architect and a full stack web developer for over a decade with strong expertise in PHP, MYSQL, Javascript, XHTML, CSS. Frameworks, Libraries & APIs : Laravel, Phalcon, CakePHP, Yii, Angular, JQuery, Bootstrap, Structr, Magento, Wordpress, Joomla, Actionscript, Aweber, Gmaps V3, REST, OAuth Cloud & Deployment: Amazon AWS, EC2, S3, RDS, Docker, Git, Composer Basic working knowledge of: ArangoDB, TigerGraph, Golang, Blockchain, Solidity, Smart Contracts
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    NodeJS Framework
    Data Modeling
    Magento
    Golang
    CSS 3
    HTML5
    Web Development
    Database Modeling
    Graph Database
    NoSQL Database
    PHP
    Laravel
    OrientDB
    Python
    MySQL
  • $65 hourly
    Expert Vetted | 🚀 TOP 1% Upwork Freelancer | 💯% Job Success 🚀 🔸 Upwork’s top 1% Data Science and Data Engineering Expert🔸 Expert Vetted 🔸 100% Job Success. 🔸 5,000+ high-quality hours. Delivering high-quality, scalable solutions since 2012 :) ☎️ Stop wasting money on technology that doesn't serve your needs. Let's work together to figure out what you truly require with a FREE 30-minute consultation. Here are a few reasons you’ll wish we’d started working together sooner: ✅ I provide top-quality work at an accessible cost ✅ My clients stay with me because I am professional, knowledgeable, and fast, “The best they have worked with”. Check out my Upwork reviews for more feedback I’ve earned! ✅ With our global team at Basal, we can provide reports, support, and more at the right time every time. Monday morning in California? We can do that. Monday morning in Australia? Count on it! There are plenty more such reviews from CXOs and Senior management at companies like Newsweek, S&P Global, etc. My skills include but are not limited to the following: Cloud: AWS Infrastructure, DevOps, AWS Architect, AWS Services (EC2, ECS, Fargate, S3, Lambda, DynamoDB, RDS, Elastic Beanstalk, AWS CDK, AWS Cloudformation etc.), Serverless application development, AWS Glue, AWS EMR Big Data: Apache Spark, ETL, Big data, MapReduce, Scala, HDFS, Hive, Apache NiFi Database: MySQL, Oracle, SQL Server, DynamoDB Business Intelligence: Tableau | PowerBI | Looker | Domo Programming: Python | NodeJS DevOps: Docker | Kubernetes | Jenkins | Github Actions | Ansible. Generative AI: Does this sound similar to what you are looking for? If you're looking for a CTO or startup tech advisor who can provide strategic guidance, technical leadership, and excellent development skills, please don't hesitate to reach out. Click the green "Invite to Job" button at the top right corner of my profile box, and let's get started on your next project! I am looking forward to hearing from you.
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  • $85 hourly
    I bring a strong background in data management and analytics to the table, with proficiency in SQL (MySQL, PostgreSQL, MS), NoSQL (JSON, MongoDB, DynamoDB), and expertise in automating and managing data pipelines using tools like Python, Hadoop, and Airflow. My experience extends to various visualization and BI tools, including Tableau, PowerBI, Google Data Studio, and Looker, enabling me to transform complex datasets into actionable insights. I have experience writing and managing Python backends (using Flask and Django) and front-end javascript applications (React, Angular, Vue.js). In addition to my front and backend skills I have a keen interest and proficiency in AI technologies, including working with natural language processing (NLP) models like ChatGPT and Langchain. This AI expertise allows me to harness the power of advanced language models for text analysis, chatbot development, and other AI-driven applications. Whether it's optimizing data pipelines or leveraging AI for enhanced data analysis, I'm committed to working collaboratively with stakeholders to ensure speed, consistency, and reliability in data solutions throughout the entire data lifecycle.
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    Flask
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  • $100 hourly
    Hello ! Thanks for dropping by 😊 I’m an expert with over 5 years experience in the following. 1. Data Engineering – both batch and streaming processing of data using Apache Kafka, Google Pub Sub, Apache Spark, Apache Airflow, Apache NiFi 2. Data Analysis – Experienced in carrying out various statistical analysis such as A/B testing, customer segmentation, churn prediction, time series forecasting, machine learning with tensorflow 3. Data warehousing – very experienced with Google BigQuery, PostgreSQL and Amazon Redshift 4. Data Visualisation – Expert in Google Data Studio, Klipfolio, Microsoft Power BI and intermediate user of Tableau, Mode 5. Data modelling and automation – heavy user of apache-airflow and apache-nifi, google-cloud-functions in python, amazon lambda functions. 6. Data Wrangling – I have a background as a developer using python, javascript, swift. So expert in building REST APIs or integrating with existing APIs Before data took over my life, I was a digital marketing expert for over 6 years in the areas of Search Engine Optimization (SEO), SMO, PPC, website speed optimization and email marketing. And this combination of data and business knowledge gives me the skillset to identify the KPI (key performance indicator) that is relevant to your business. This has immensely helped me in building business intelligence dashboards for varying businesses from e-commerce (Amazon, shopify), to SaaS startups to marketing agency dashboards and more. In addition I also conduct audits and make sure that clean data is generated/recorded in first place using the following 1. Auditing and setting up of Google Analytics for events and goal tracking. 2. Auditing and setting up of Google Tag Manager 3. Conversion tracking auditing and setup in Google-Ads, Facebook-ads, Bing-ads and more So do you feel like you have a challenging project? Let’s have a call Thanks, Vinay
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    My name is Ankush Gulati and I am a Top Rated Plus Data Science Professional with an extensive track record of over 6 years. I have specialized in BI Development and Data Warehouse Technologies and have consistently delivered exceptional results for my clients. 🏆 Top Rated Plus Freelancer on Upwork 🏆 Successfully delivered 100+ BI Dashboards 🏆 All 5-Star Reviews from satisfied clients 🏆 Microsoft Exam-778 Certified in Power BI 🏆 A growing list of 90+ Happy Clients Globally Tools & Technologies I Specialize In: ✅ Power BI: Comprehensive expertise in Power BI, DAX, M-Language, and Power Query ✅ Power Automate: Automate tasks and business processes ✅ Azure SQL: For robust and scalable data warehousing solutions How I Can Assist You: ✅ Craft various Dashboards (KPI Dashboard, Sales Dashboard, Profit/Loss Dashboard) ✅ Data Storytelling and Presentation ✅ Revamp and Enhance existing Dashboards ✅ Seamless API integration Being a Microsoft Certified Power BI professional, my breadth of experience encompasses projects that integrate multiple data sources. I possess strong analytical skills, excel in writing DAX formulas, and have significant experience in publishing reports, dashboards, and configuring data gateways for my clients. Furthermore, I can create a REST API connector using Python, empowering me to develop compelling Reports and Dashboards that provide meaningful insights. My proficiency extends to developing dashboards and reports in Microsoft Power BI, Power BI Report Builder using SQL, DAX, M Query, Power Automate, Azure Datawarehouse, and Python for data analytics. This ensures that businesses can make well-informed decisions backed by insightful data. Currently, I am embracing the freedom of being a Full-Time Freelancer and am eager to assist with all your data analytics and visualization requirements. Let's connect! I am keen to understand your data analytics challenges and assist you in deriving meaningful insights from your data. Looking forward to a positive collaboration.
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  • $70 hourly
    As a Master’s Degree holder in Computer Science, specializing in intelligent systems, I bring over six years of in-depth experience in system architecture, data analysis, and processing, with a keen focus on managing massive data flows. My expertise spans machine learning, database administration, data warehouse and lake design, NLP, web scraping, and DevOps, among others. I’ve had the privilege of contributing to cutting-edge machine learning research projects at Stanford University and collaborating remotely with Harvard professors. My work has focused on the design of bespoke machine learning models, generating interpretable explanations, and applying reinforcement learning. Additionally, I’ve developed optimization algorithms for diverse real-world applications, ranging from bail-out decisions and employee performance predictions to data mining and network modeling. My experience extends to managing large databases and complex data models, involving the complete redesign of databases containing sensitive information, developing ETL pipelines, and crafting Business Intelligence solutions. DevOps is a passion of mine. I thrive on creating scalable and elastic infrastructures using Docker, Kubernetes, graph databases, and message brokers to support sophisticated code and ML models. My enthusiasm extends to optimizing Python code, deploying TensorFlow models, designing micro-services, and implementing in-memory databases for high transaction volumes. Beyond technical capabilities, I excel in academic writing, project proposal creation, product development, and project management, underscoring my holistic approach to technology projects.
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What Is Big Data?

While big data has become a trendy catchphrase, the good news is that there is real substance to it. With a little effort, even nontechnical people can understand that substance and start putting it to work for their companies.

Part of demystifying the trendy catchphrase “big data” is understanding that you’re analyzing your business using techniques of statistical analysis, some of which have been around for 50 years or more.

What is fundamentally different about the 21st-century phenomenon of “big data” is the computing power we can bring to bear. Advances in the sensors that collect data, the drives that store it, and the software and hardware to analyze it mean that we can efficiently analyze far more material than was feasible in earlier centuries.

It’s no longer hard to create and store gigabytes of data—the challenge is to find something meaningful in all of that material. What makes analyzing the data such a rich source of business insights?

Big data is good at finding correlations but not at causality

A great place to start is with the distinction between “what you like” and “why you like it”—or what is technically called the difference between correlation and causality. These algorithms don’t know why you like what you like. But they have learned what you will like based on what you’ve purchased before.

From a business perspective, that’s OK—what matters far more than why. Knowing what you will like drives clicks and sales. Skilled data scientists have a host of statistical techniques—some new, some old—for analyzing information. Before you start working with a data scientist, however, there’s an important question you need to ask first.

What’s the type of dataset you want to learn more about?

If you don’t ask this all-important question, you could get overwhelmed with raw data. Many executives feel pressure to just do something with big data, so they begin collecting without a clear goal in mind.

If you do “track everything,” you’ll still have to go through that data again once you figure out what you’re trying to do. And in the meantime, you’ll be racking up software, hardware, and personnel costs.

A key takeaway? Don’t just rush in and start tracking everything. The best way to get started is to look at the types of problems people have successfully attacked with big data in order to see what you might accomplish in your business. Here are a few examples:

  • Branding: Look at mentions of a product on Twitter in order to derive an analysis of “customer sentiment.” By collecting mentions of your brand from Twitter, data scientists not only can tell how customers feel about it but also how strongly they feel about it. Data scientists can also then help you automate your responses: re-tweeting of positive comments, and prompt, private messages to unhappy customers.
  • Market research: Analyze your past sales records to segment your customer base so that you can find and target like-minded clusters of people with carefully customized marketing campaigns.
  • Operations: Analyze the geolocation data of your delivery drivers to optimize the most efficient routes in terms of gasoline usage and time. Data scientists can compare up-to-the-minute data about where your vans are on the road with historical data about what routes are congested with vehicles or require time-consuming left-hand turns across traffic.
  • Production optimization: A large beverage company used data to find the optimal blend of different kinds of oranges, which have different costs, astringency, sweetness, and tartness, in order to maximize profit while maintaining quality standards.
  • Research: A large hedge fund hired researchers to keep track of real-time news on 200 companies at a time. The team was spending so much time seeking data, like looking for company press releases, regulatory sites, SEC filings, and updates to company websites, that they couldn’t keep up with all of the changes. Data consultancy BrightPlanet put together an algorithm to search the Internet and compile information automatically, freeing up the team to focus on analyzing the findings.

Tips for analyzing big data

There are some unusual features of massive datasets that you should keep in mind.

1. The “messiness” of big data

You may be surprised by how much time your consultants are using on a stage of the project called “data preparation.” Don’t be. Because computers, databases, and algorithms have gotten so fast, getting large datasets, often disorganized and drawn from multiple sources, in a position to be analyzed is quite challenging. “

Data scientists unabashedly describe their datasets as “messy.” (That’s really the technical term for it.) Imagine, for example, you tell a web-crawling algorithm to compile massive amounts of press releases, tweets, news reports, and government filings from different websites and in different formats. The results from the web-crawling algorithm are not going to consist of neat, well-organized rows in a spreadsheet or fields in a database.

This “unstructured” data will need to be “cleaned” or made uniform in a way that algorithms can analyze. That’s why “data preparation” often takes so much time.

2. You don’t need to sample

Unlike the analog days of statistics, when you might have given a survey to 1,100 people to stand in for your entire customer base, computing power today means you can look at all the data. And using all the data instead of a sample can make an enormous difference.

3. “Datafication

Viktor Mayer-Schönberger and Kenneth Cukier coined the term “datafication,” meaning that inexpensive sensors, hardware, and data storage have made it possible to collect certain types of data that were impractical to track previously.

4. Data exhaust

Because storage and collection has gotten cheap, you can save the equivalent of data “junk” and perhaps find ways to use it. For example, Google receives a large amount of search queries with typos or misspelled words each day. The company has taken this “exhaust” from its lucrative search engine business in order to not only improve search (“Did you mean ornithologist?”) but also to build a powerful spell-checker.

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