Hire the Best XOOPS Specialists

Struggling to unlock value from your data or build scalable, high-performance analytics platforms? I’m 𝑯𝒂𝒔𝒆𝒆𝒃 𝑨𝒔𝒊𝒇,a Senior Data Engineer specializing in Databricks, Snowflake, Big Data Engineering, and scalable ETL/ELT solutions. With expertise in PySpark, Python, SQL, GCP, AWS, Azure, and NLP, I build high-performance data pipelines, cloud data platforms, and real-time analytics solutions. Experienced in data warehousing, cloud integration, machine learning workflows, and performance optimization to transform raw data into actionable business insights. Let’s build reliable, scalable, and data-driven solutions for your business growth. I’ve successfully completed 99+ projects across industries, designing ETL pipelines, MLOps workflows, Delta Lake architectures, and cloud analytics solutions on AWS, Azure, and GCP. ✔️ 𝑯𝒐𝒘 𝑰 𝑯𝒆𝒍𝒑 𝑩𝒖𝒔𝒊𝒏𝒆𝒔𝒔𝒆𝒔 𝑻𝒓𝒂𝒏𝒔𝒇𝒐𝒓𝒎 𝑫𝒂𝒕𝒂 𝒊𝒏𝒕𝒐 𝑰𝒏𝒔𝒊𝒈𝒉𝒕𝒔 ➜ Databricks & Big Data Engineering I specialize in designing enterprise-grade Databricks Lakehouse architectures and Delta Lake solutions. My expertise in Spark and PySpark allows me to build high-performance pipelines for both batch and real-time analytics, ensuring your data infrastructure is robust and scalable. ➜ Machine Learning & MLOps With a focus on machine learning and MLOps, I build and deploy predictive models using tools like MLflow and TensorFlow. I automate end-to-end ML pipelines to enhance efficiency and accuracy, driving impactful insights from your data. ➜ Cloud & Data Platforms I implement secure, scalable cloud solutions on platforms like AWS, Azure, and GCP. My experience includes cloud migration, Kubernetes, Docker, and CI/CD automation, ensuring seamless integration and optimal performance. ➜ ETL & Data Pipelines I develop reliable ETL processes and data pipelines that streamline data integration and transformation. My work with streaming analytics using Kafka and Spark ensures real-time data processing and actionable insights. ➜ Data Analyst & Visualization I create actionable dashboards and visualizations using Power BI, Tableau, and Databricks SQL. My focus is on driving KPI reporting and business intelligence to support strategic decision-making. ➜ Snowflake I leverage Snowflake's capabilities to build efficient data warehousing solutions, optimizing data storage and retrieval for enhanced performance and scalability. ➜ Python My proficiency in Python allows me to develop complex data processing scripts and machine learning models, ensuring robust and efficient data handling. ➜ NLP (Natural Language Processing) I apply NLP techniques to extract meaningful insights from unstructured data, enabling advanced text analytics and improved decision-making processes. ➜ GCP (Google Cloud Platform) I utilize GCP's powerful tools to design and deploy scalable cloud solutions, ensuring high availability and performance for your data-driven applications. ➜ Data Warehouses I design and manage data warehouses that provide a centralized repository for your data, facilitating efficient data analysis and reporting. ✔️ 𝑲𝒆𝒚 𝑻𝒐𝒐𝒍𝒔 & 𝑻𝒆𝒄𝒉𝒏𝒐𝒍𝒐𝒈𝒊𝒆𝒔 ▪ Databricks & Big Data: Databricks, Delta Lake, Apache Spark, PySpark, Unity Catalog, Kafka, Hadoop, Real-time Streaming ▪ Machine Learning: MLflow, TensorFlow, PyTorch, scikit-learn, Feature Store, Predictive Analytics, NLP ▪ Cloud Platforms: AWS, Azure, GCP, Kubernetes, Docker, CI/CD ▪ Analytics & BI: Power BI, Tableau, Databricks SQL, KPI Dashboards, Data Strategy ▪ Data Engineering: ETL Pipelines, Data Lakes, Data Warehousing, Data Migration, Performance Optimization ✔️ 𝑾𝒉𝒚 𝑪𝒉𝒐𝒐𝒔𝒆 𝑴𝒆 I combine deep technical expertise with practical business understanding, delivering scalable, cost-efficient, and AI-ready data solutions. My goal is to turn your data into a strategic asset that powers smarter decisions and measurable growth. Let’s collaborate to build your next-generation analytics platform and unlock the full potential of your data. Check my portfolio for architecture samples, dashboards, and case studies. Databricks Engineer, Big Data Consultant, Spark Developer, MLOps Engineer, Data Engineer, AWS Data Specialist, Azure Databricks, GCP Analytics, ETL Developer, Data Analytics, Delta Lake Expert, Machine Learning Engineer, Python, Database Architecture, Data Processing, ETL, Big Data, Database Design, Data Engineering, Data Analytics & Visualization Software, Data Visualization, Deep Learning Modeling, Data Warehousing & ETL Software, Snowflake, Amazon Web Services, ETL Pipeline, Machine Learning, Deep Learning, Data Science, Data Analysis, Cloud Engineering, Artificial Intelligence, Databricks Engineer, Big Data Consultant, Spark Developer, MLOps Engineer, Data Engineer, AWS Data Specialist, Senior Data Engineer specializing in Databricks, Snowflake, Big Data Engineering, and scalable ETL/ELT solutions. With expertise in PySpark, Python, SQL, GCP, AWS, Azure, and NLP

I build data platforms that work at scale and keep working as your business grows. Over the past 10 years I've served as the lead or founding data engineer across fintech, e-commerce, ride-hail, legal tech, and cybersecurity companies. That means I've designed systems from scratch, made architecture decisions with no one to fall back on, and delivered platforms that product teams actually use. Here's what I typically get hired to do: → Build greenfield data platforms on AWS or GCP from the ground up → Design and ship production ETL/ELT pipelines (Airflow, Dagster, dbt) → Set up scalable warehouses and governance (Snowflake, BigQuery, Redshift) → Implement real-time streaming pipelines (Kafka, Spark Streaming, CDC) → Build AI-powered data applications (RAG, LLMs, LangChain, vector DBs) → Fix broken or unreliable pipelines and make them production-grade → Architect cloud infrastructure on AWS, GCP, Azure (Terraform, Kubernetes) Recent work includes: - Led data platform engineering for a US e-commerce company processing billions of events daily. I re-architected ingestion pipelines, built Snowflake governance from scratch, introduced Prometheus monitoring and CI/CD standards across the platform. - Built a full data platform on GCP (BigQuery, Dataproc, Airflow) for a music streaming company. Firebase, AppsFlyer, and app store data all flowing into one warehouse within weeks. - Designed an AWS data platform for a ride-hail company managing 500+ streaming and 700+ batch jobs — including a self-serve portal that replaced multi-step CLI workflows for engineers. - Built a legal AI search engine using LangChain, Pinecone, and RAG — full pipeline from document ingestion to LLM-generated answers, deployed on AWS with auto-scaling. - Built an AI inventory insights agent for a US automotive company — multi-source data pipelines, real-time APIs, conversational interface. I work in English daily, communicate proactively, and deliver production- ready code — not prototypes. I'm used to working directly with CTOs and technical leads in US and European time zones. Tools I work with regularly: Python · SQL · Airflow · Dagster · dbt · Snowflake · BigQuery · Spark · Meltano · Kafka · AWS (S3, EMR, Glue, ECS, Lambda, EC2, EKS) · Databricks · GCP · Azure Terraform · Docker · Kubernetes · LangChain · FastAPI · MLflow · Weaviate, Celery If you're building a data platform, fixing one, or adding AI/ML capabilities to your stack, let's talk.

Messy data slowing your team down? I build scalable ETL/ELT pipelines and modern cloud architectures on Azure, Databricks, Fabric, and Snowflake that turn raw, chaotic data into clean, analytics-ready systems fast and reliably. I bridge the gap between fragmented data sources and production-grade dashboards, seamlessly adapting to your existing infrastructure rather than forcing an expensive rebuild. What I Can Help You With: Data Warehouse & Lakehouse Architecture: Implementing Medallion design patterns (Bronze → Silver → Gold) using Delta Lake, Microsoft Fabric OneLake, and Snowflake. Scalable ETL/ELT Ingestion: Building automated, metadata-driven pipelines via Azure Data Factory, Fabric Pipelines, Databricks (PySpark/SQL), and dbt. Real-Time Data Streaming: Architecting low-latency workflows using Apache Kafka, Azure Event Hubs, and streaming engines. Database Design & Optimization: Performance tuning, indexing, and data modeling for PostgreSQL, Azure SQL, and cloud warehouses. Proven Project Highlights: Microsoft Fabric Incremental Pipeline: Built a control-table pattern using Get Metadata, Lookup, and ForEach loops to orchestrate zero-duplicate, quarterly ingestion from SharePoint into OneLake via Dataflow Gen2. Azure/Databricks Streaming: Developed a restaurant analytics platform processing 80,000+ events/day, cutting reporting lag from 6 hours to under 3 minutes. Kafka/Snowflake Pipeline: Engineered a real-time stock market data pipeline tracking 120+ tickers with under 8 seconds end-to-end latency. I write clean, documented code your team can maintain long-term and provide transparent daily updates. Message me with your data challenge and I’ll walk you through exactly how to solve it.

🏆 𝗧𝗢𝗣 𝗥𝗔𝗧𝗘𝗗 𝗣𝗟𝗨𝗦 – 𝗔𝗺𝗼𝗻𝗴 𝘁𝗵𝗲 𝗧𝗼𝗽 𝟯% 𝗗𝗮𝘁𝗮 𝗘𝘅𝗽𝗲𝗿𝘁𝘀 𝗼𝗻 𝗨𝗽𝘄𝗼𝗿𝗸. 🏆 Having successfully served 50+ clients on Upwork, I bring over 6 years of expertise in Data Analytics, Data Engineering & Web tracking. I build end-to-end data tracking & reporting pipelines for business of all sizes. What clients say about me: 📣 "𝙑𝙚𝙧𝙮 𝙧𝙚𝙨𝙥𝙤𝙣𝙨𝙞𝙫𝙚 𝙩𝙤 𝙦𝙪𝙚𝙨𝙩𝙞𝙤𝙣𝙨 𝙖𝙣𝙙 𝙥𝙧𝙤𝙫𝙞𝙙𝙚𝙨 𝙜𝙧𝙚𝙖𝙩 𝙙𝙖𝙩𝙖 𝙖𝙣𝙙 𝙫𝙞𝙨𝙪𝙖𝙡𝙞𝙨𝙖𝙩𝙞𝙤𝙣 𝙖𝙙𝙫𝙞𝙘𝙚. 𝘼𝙡𝙨𝙤 𝙖𝙗𝙡𝙚 𝙩𝙤 𝙝𝙖𝙣𝙙𝙡𝙚 𝙖𝙙𝙫𝙖𝙣𝙘𝙚𝙙 𝘽𝙞𝙜𝙌𝙪𝙚𝙧𝙮 𝙖𝙣𝙙 𝙇𝙤𝙤𝙠𝙚𝙧 𝙎𝙩𝙪𝙙𝙞𝙤 𝙬𝙤𝙧𝙠. 𝙀𝙭𝙘𝙚𝙡𝙡𝙚𝙣𝙩 𝙘𝙤𝙣𝙩𝙧𝙖𝙘𝙩𝙤𝙧!" MY SKILLS SNAPSHOT: 📈 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 & 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 | Finding critical business insights & building KPIs from raw data stored in databases or spreadsheets. Also, building automated reporting dashboards using any available Business Intelligence tool in the market. 🌎 𝗪𝗲𝗯 𝘁𝗿𝗮𝗰𝗸𝗶𝗻𝗴 | Setting up browser-side and server-side tracking to ensure have precise information on what actions users take on your website. 🛠️ 𝗘𝗧𝗟 𝘂𝘀𝗶𝗻𝗴 𝗔𝗣𝗜𝘀 & 𝗱𝗮𝘁𝗮 𝘄𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗶𝗻𝗴 | Expertise in building Python data pipelines to extract raw data from APIs of data sources like but not limited to Meta Ads, LinkedIn Ads, Google Ads, Bing Ads, Mailchimp, Shopify, Stripe, Google Analytics 4, Google Search Console, Klaviyo, ClickUp, Monday, etc. 📲 𝗠𝗼𝗯𝗶𝗹𝗲 𝗔𝗽𝗽 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 | Analysing mobile app user’s behaviour and developing key mobile app metrics like DAU, MAU, ARPU, day-wise retention, Ads and IAP analyses, Aha moment analysis, etc. 🤖 𝗦𝗼𝗹𝘃𝗶𝗻𝗴 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗽𝗿𝗼𝗯𝗹𝗲𝗺𝘀 𝘂𝘀𝗶𝗻𝗴 𝗣𝘆𝘁𝗵𝗼𝗻 & 𝗢𝗽𝗲𝗻𝗔𝗜 | Building real-world business solutions using OpenAI and other large language models (LLMs). MY TECH EXPERTISE: • 𝗗𝗮𝘁𝗮 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘀𝗮𝘁𝗶𝗼𝗻 & 𝗕𝗜 – Looker, Metabase, Zoho Analytics, Domo, Power BI, Tableau, Google Data Studio (formerly Looker Studio), Mode, Databox, Google Sheets, Excel, etc. • 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗹𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗲𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 – SQL and Python. • 𝗦𝗤𝗟 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀 & 𝗱𝗮𝘁𝗮 𝘄𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗲𝘀 – Google BigQuery, AWS Redshift, AWS RDS, Snowflake, MySQL, MS SQL, PostgreSQL, Azure SQL, etc. • 𝗘𝗧𝗟 𝗧𝗼𝗼𝗹𝘀 – APIs, dbt, Dataform, Fivetran, Supermetrics, PowerMyAnalytics, Saras Analytics, Zapier, etc. • 𝗪𝗲𝗯 𝗧𝗿𝗮𝗰𝗸𝗶𝗻𝗴 – Google Tag Manager, Google Analytics 4, Mixpanel, etc. Feel free to drop a message if you need help with any of the services listed above and I'll be happy to collaborate! Looking forward to hear from you. Chitranshu Sharma

🏆 Top Rated Plus 🌟 100% Job Success 🤝 Satisfied Clients ⏱ Quick Turnaround 📞 Clear Communication Why work with me? Proven Experience: 💎 Backed by 15+ years of delivering results through scalable, cost-efficient data solutions. Technical Expertise: 💎 AI-Data Architecture: I deliver real-world-ready data through automated, reliable pipelines. The new AI era requires a new data platform. 💎 Conversational Analytics & AI Agents: Enable users to chat with their data through AI-driven interfaces. Google Conversational Analytics API and Gemini Enterprise 💎 Data Visualization: Skilled in Looker, Looker Studio, Power BI, Tableau, Superset, and others. 💎 Data Web Portals: Skilled in developing custom embeddable solutions and full web platforms under your own brand and domain. 💎 Database Management: Expertise in SQL (BigQuery, SQL Server, Oracle, MySQL, PostgreSQL, Snowflake) and NoSQL systems. 💎 ETL: Experience with both streaming and batch pipelines using Airflow, Apache Beam, Kafka, Debezium, Pub/Sub, and others. 💎 Data Modeling: Proficient with dbt, Dataform, and PySpark. 💎 Version Control: Comfortable with Git-based tools (GitHub, Bitbucket, GitLab, Azure DevOps). 💎 Cloud Platforms: Certified and experienced in GCP, AWS, and Azure. 💎 Unstructured Data: JSON, XML, Excel, Google Sheets. 💎 GA4 Data: Google Analytics 4 for advanced analysis. Soft Skills & Work Ethic: 💎 Versatile & Adaptive: Quick to learn new tools, roles, and business domains. 💎 Value-Driven: Focused on delivering high-impact outcomes with cost-efficiency. 💎 Detail-Oriented: Committed to precision and quality in every task. 💎 Reliable & Time-Conscious: Consistent delivery of high-quality work on time. 💎 Leadership: Capable of guiding teams and leading initiatives when needed. 💎 Analytical: Skilled at breaking down complex problems and finding effective solutions. 💎 Collaborative: Strong team player, effective in multidisciplinary environments. Scalable Technical Capacity: I’m supported by a network of 15+ specialists, including Solution and Data Architects, Developers, Designers, Process Specialists, DevOps Engineers, Machine Learning Engineers, Data Scientists, Data Analysts, and more. We work collaboratively to ensure your project receives the strongest possible technical support, from strategy to execution. How I approach projects: - Kick-off meeting to review requirements and deliverables - Action plan development using a project management tool - Weekly demo meetings to showcase progress - Detailed time and task tracking - Continuous feedback loop to ensure alignment and improvement - Complete documentation of the solution

With 10 years of strong expertise in Data Engineering, Big Data Technologies, Python, Cloud Infrastructure, and Business Intelligence, I build end-to-end data platforms from ingestion and transformation to analytics-ready warehouses and executive dashboards. If you need clean, structured, and production-ready data architecture, I can design and implement it efficiently. What I Can Help You With Data Engineering & ETL: Building scalable ETL / ELT pipelines Apache Airflow & workflow orchestration Apache Spark, Hadoop ecosystem Python Batch & real-time data processing Data cleaning & transformation Data quality validation Workflow automation Big Data & Streaming: Apache Spark (batch & distributed processing) Kafka, Flink, Spark Streaming HDFS & Data Lake architectures Hive, Pig, HBase Distributed data systems Data Warehousing & Databases: Snowflake, BigQuery, Amazon Redshift Star Schema & Snowflake Schema design OLAP & analytical modeling Query optimization & indexing SQL (PostgreSQL, MySQL, SQL Server) NoSQL (MongoDB, Cassandra, Redis) Transaction & ACID compliance Cloud & DevOps: AWS (S3, EC2, Lambda, RDS, IAM, VPC, ECS, ECR, CloudFront, API Gateway) GCP (BigQuery, Dataflow, GKE, Cloud SQL, Cloud Storage) Azure (Data Factory, Storage, Data Lakes) Docker, Microservices & Kubernetes Terraform (Infrastructure as Code) CI/CD pipelines Scalable cloud architecture Cloud Migrations: AWS RDS, Google Cloud SQL, Azure SQL Database Moving workloads and applications between cloud providers (AWS to GCP, Azure to AWS, etc.) Leveraging microservices and containers for moving applications to the cloud Moving data between cloud storage systems, data lakes, and warehouses Rehosting applications or services in a new environment with minimal change to the codebase. Business Intelligence & Analytics: Power BI & Tableau dashboards DAX & Power Query KPI development Business performance reporting Data storytelling & insights Data Extraction & Automation: Web scraping using BeautifulSoup, Scrapy, Selenium, and Playwright Automated data extraction from dynamic and JavaScript-rendered websites API integration and structured data parsing CAPTCHA handling and rate-limit management Scheduled scraping workflows using Airflow and Cron Data cleaning, validation, and structured database storage