Organizations often struggle to trust their data not because of missing technology, but due to fragmented sources, inconsistent pipelines, and unreliable outputs. I’m Neeraj Negi, a Top Rated Data Engineer with a 99% Job Success Score on Upwork, helping teams build stable, scalable data foundations. I design and build reliable, scalable data pipelines and analytics platforms that convert raw, fragmented data into governed, analytics-ready datasets used for reporting, forecasting, and informed decision-making. With 5+ years of hands-on experience, I have worked on production data systems across insurance, e-commerce, and event-driven environments. My work typically involves owning the full data lifecycle from ingestion and transformation to optimization, quality, and analytics consumption while collaborating closely with business stakeholders to ensure data supports real business decisions. My approach is pragmatic and long-term: build data systems that are stable, maintainable, and trusted by the business. ✅ Why Clients Choose Me: 1. Maintain a 99% Job Success Score with consistent long-term client engagements 2. Deliver production-ready ETL/ELT pipelines that reliably move data from source systems to analytics-ready layers 3. Implement scalable cloud-based data architectures with a strong focus on performance and cost efficiency 4. Translate business and reporting requirements into clean, well-modeled analytical datasets 5. Modernize legacy and on-premise data workflows into cloud-native solutions 6. Deliver clean, well-documented data models designed for long-term ownership ✅ Core Expertise / Tech Stacks : 1. Data Modeling & Analytics Engineering: Dimensional modeling (Star & Snowflake schemas), analytics-ready data products, DBT Core & DBT Cloud, advanced SQL 2. Data Integration & Orchestration: ETL / ELT pipelines (batch & incremental), Apache Airflow 3. Cloud Data Platforms: Azure (ADF, Synapse), GCP (BigQuery) 4. Programming & Scripting: Python, Bash 5. Big Data & Distributed Processing: Apache Spark (PySpark, Spark SQL), Delta Lake, Kafka, Databricks 6. Data Quality, Governance & DevOps: Data quality frameworks, schema management, monitoring, CI/CD (Git-based workflows) 7. Analytics & Delivery: Power BI data modeling, Agile, Scrum, DataOps ✅Project Experience: 1. Insurance Data Engineering & Analytics : Worked on modernizing insurance data pipelines involving policy, claims, broker, and third-party data sources. Designed and maintained analytics-ready data models using SSIS, Python, and advanced SQL, standardizing fragmented datasets into governed reporting layers stored in Azure SQL. Built automated ETL workflows and implemented incremental processing and SQL performance optimization to ensure data accuracy and scalability. Data pipelines were scheduled and executed using Azure Container Jobs, while curated datasets powered Power BI dashboards for operational and management-level reporting. This approach significantly improved data reliability, reduced manual reconciliation, and ensured consistent metrics across reports. 2. E-Track – Event Management Analytics: E-Track was a data analytics solution built to support event planning and performance analysis. I designed DBT- and SQL-based transformation models to convert raw event registration, attendance, and feedback data into structured reporting layers. Using DBT transformations, I created key metrics such as monthly event volume, event category performance, and seasonal demand trends. The resulting datasets powered Metabase dashboards that enabled business teams to forecast demand, analyze trends, and optimize resource allocation. My work emphasized modular DBT modeling, incremental loads, and optimized SQL queries to ensure fast and reliable dashboard refreshes. 3. Rooster – E-Commerce Marketing & Sales Analytics: For an e-commerce client, I developed data transformation and modeling pipelines using DBT to consolidate marketing and sales data from platforms including Google Ads and Facebook Ads. I built clean, unified datasets to support Power BI reporting on KPIs such as conversion rate, monthly sales by product category, and return order ratios. In addition, I implemented DBT models for deeper sales performance analysis, covering product-level trends and customer segmentation. 📌 If you’re looking to build a dependable data foundation, modernize existing pipelines, or scale your analytics capabilities, I’d be happy to discuss your requirements. ✅I’m available to start immediately. Click “Invite to Job” or send a message to begin the conversation.

As a dynamic data expert with a proven track record, I specialize in end-to-end data solutions across data engineering, data warehousing, and business intelligence (BI) domains. My focus is on building scalable, reliable, and cost-effective data pipelines and solutions that drive business growth and provide actionable insights. I am proficient in both short-term, project-based work and long-term, strategic partnerships. MY CORE COMPETENCIES AND SKILLS: • Data Engineering and ETL: I design, develop, and deploy robust ETL/ELT pipelines. I am highly skilled in AWS Glue, Matillion, Fivetran and Zapier for orchestration and data integration. I write efficient Python scripts for data processing and API extractions. My expertise covers both batch processing and real-time data streaming. • Cloud and Database Technologies: I am well-versed in cloud platforms including Amazon Web Services (AWS), Google Cloud Platform (GCP), Snowflake and Databricks. My database skills cover databases such as PostgreSQL, MySQL, SQLite and MongoDB. My expertise also includes Spark, and Kafka for big data processing. • Business Intelligence (BI) and Analytics: I transform raw data into powerful insights using leading BI tools. I create interactive dashboards and reports in Tableau, Quicksight, Microsoft Power BI, Looker and Metabase. I am also an expert in developing advanced analytics and reporting solutions. • Marketing and Advertising Data: I have significant experience extracting and integrating data from platforms like Google Analytics 4 (GA4), Google Ads, Meta Ads, Google Tag Manager, Campaign Manager 360, and Salesforce CRM. I create robust data pipelines to connect ad performance with customer behavior for effective reporting and campaign optimization. • AI/LLM-based Reporting: Skilled in creating natural language querying (NLQ) systems and reporting solutions built on Large Language Models (LLMs) to make data accessible to non-technical users. ADVANCE AND SPECIALIZED SKILLS: • Serverless Computing: Proficient in architecting cloud-native serverless systems leveraging managed services to build scalable, resilient, and cost-efficient data and application workflows. • API Integration: Expert in consuming, managing, and integrating APIs using Python to handle challenges like rate limiting, OAuth authorization, pagination, and incremental data loading. • Data Governance and Quality: I implement data quality checks and data governance frameworks to ensure data integrity and reliability. • LLM and Generative AI: I am skilled in building LLM-based reporting systems and enabling natural language querying (NLQ) to make data accessible to non-technical users. WHO I WORK WITH: Founders building AI powered products who need someone who's shipped before. Startups scaling from prototype to production with real users and real edge cases. Businesses drowning in manual data collection or repetitive workflows. Teams that tried building it themselves, hit a wall, and need someone to fix it. HOW I WORK: Scope Call — I understand your problem, constraints, and timeline. I'll tell you honestly if I'm the right fit. Architecture Doc — Before writing code, I define what we're building, why, and how. You get a clear plan with milestones. Build in Sprints — 1-2 week cycles. Working software each sprint, not status updates. Deliver & Support — 30-day support included. Systems I build keep running months after handoff.

🥇Top 1% Data Engineer and Analytics Specialist 🎓 Master’s in Data Science | University of Coventry, UK 🎯 Trusted by clients like Microsoft and Windsor.ai, I help businesses build scalable data pipelines and analytics that empower smarter decisions. As a Senior Data Architect, I have 7+ years of experience in developing ETL pipelines, large-scale data engineering infrastructures, data mining, and warehousing projects. Further, I have managed and successfully deployed multiple data analytics projects, followed by expert MLOps services for maintaining the integrity and performance of various models in production. ✔️ ETL and Warehousing Services • I have developed and deployed complex data mining architectures involving hundreds of websites and millions of records, coupled with scraping solutions addressing JS, login/authentication, CAPTCHA, ReCAPTCHA, IP blacklisting, User-Agent Rotation, etc. • I'm highly skilled in Python, Scrapy, Beautiful Soup, Selenium, Splash, Regular expressions, XPath, JS, and AJAX. ✔️ Data Engineering Services • I have developed robust data pipelines, capable of continuous and extensible data processing. • I have implemented end-to-end solutions catering to diverse data sources, deployed on cloud/servers via cron jobs/automated services. ✔️ Data Science and Analytics Services • I offer expert data analysis for extracting key insights and complex correlations. Further, I can help identify key metrics for performance optimization across various niche. • I provide real-time BI services based on crafty yet simplistic visualizations across various platforms such as Google Data Studio, PowerBI, Tableau. • I have deployed multiple data science solutions in production based on complex statistical models and ingenious feature engineering, which provide insightful forecasting and predictive analytics. • I offer expert MLOps services for developing and optimizing in-production ML pipelines, impervious to data drift/leakage. I build optimal solutions for my valued clients across a diverse array of SMEs, following the best Software Engineering practices based on smart Requirement Analysis and industrious Quality Assurance. Keywords: Python, Google Data Studio, Google Analytics, Google Tag Manager, Tableau, MLflow, TensorFlow, R, Data Pipelines, ETL, Data Engineering, Data Extraction, Data Mining & Warehousing, Scrapy, Selenium, BeautifulSoup, Automation, Scrapers, NumPy, Pandas, NLP, Data Analytics, Forecasting.

I help businesses automate reporting, build reliable data pipelines, and develop machine learning solutions that turn raw data into actionable business insights. With 2+ years of experience, I've helped startups and businesses save time, eliminate manual work, and make better decisions through Python, SQL, automation, and AI-powered data solutions. Here's what I can help with 📊 Dashboards & Business Intelligence Looker Studio, Google Sheets, Excel, GA4 Google Ads & Search Console reporting CRM dashboards, KPI tracking, and executive reporting Interactive dashboards with automated refreshes ⚙️ Data Engineering & Automation Python scripting and ETL pipelines API integrations and data synchronization Workflow automation with n8n and Zapier Data cleaning, transformation, and scheduled reporting 🤖 Machine Learning & Predictive Analytics Classification and regression models Customer segmentation and churn prediction Forecasting and time-series analysis NLP and business analytics 🧠 AI & LLM Solutions OpenAI & Claude API integrations RAG pipelines AI-powered document extraction and summarization Intelligent business assistants and workflow automation 🧹 Data Preparation Cleaning messy spreadsheets and databases Combining data from multiple sources Fixing broken reports and improving data quality Preparing datasets for analytics and machine learning Why clients hire me ✔ Clean, maintainable, well-documented code ✔ Strong business understanding—not just technical implementation ✔ Clear communication and reliable project delivery ✔ Solutions built to be scalable, practical, and easy to maintain If you're looking for someone who can bridge the gap between business goals and technical execution, I'd be happy to discuss your project. --------------------------------------------------------------------------------------------------------------------- Data Scientist | Python Developer | SQL | Machine Learning Engineer | Data Analyst | Predictive Modeling | Classification | Regression | Data Cleaning | Data Visualization | Dashboarding | Looker Studio | Google Data Studio | Business Intelligence (BI) | Excel Dashboards | Google Sheets | Automation Specialist | n8n | Zapier | Python Scripts | ETL | Pandas | NumPy | Scikit-learn | NLP | Sentiment Analysis | Time Series Forecasting | ARIMA | Prophet | Streamlit

Data & Analytics Engineer specializing in workflow automation, data pipelines, and business intelligence solutions. From Google Sheets automation to production-grade data stacks — I build systems that save time, reduce errors, and turn raw data into decisions. What I can help you with: 🔹 Spreadsheet & No-Code Automation — Google Sheets, Google Apps Script, Zapier, Excel. Custom dashboards, automated reports, data entry systems, and API integrations. If you're doing something manually that could run on its own, I'll build it. 🔹 Data Engineering & Pipelines — Python, SQL (MySQL, PostgreSQL), Apache Airflow, Apache Spark, dbt, Snowflake. End-to-end pipelines from raw ingestion to clean, reliable data your team can trust. 🔹 Analytics Engineering & BI — Looker (certified), Power BI, data modeling, and reporting layers built for non-technical stakeholders. I translate business questions into metrics that actually get used. 🔹 AI & Modern Data Stack — Experience with LLM integration, AI-assisted workflows, and modern tooling including dbt, Snowflake, and cloud-based orchestration. Why clients keep coming back: ✔ Fast response time — typically under 2 hours ✔ I understand your problem, not just your task — I'll push back if there's a better solution ✔ 100% Job Success Score across 36+ completed contracts ✔ Bilingual — English & Spanish Whether you need a quick automation fix or a full data infrastructure built from scratch, let's talk.

Data engineer building scalable pipelines, cloud platforms, and analytics solutions that transform messy data into reliable business decisions.

What's stopping you from starting your journey? Book a free 30-minute consultation call with me to discuss your project needs! I have over 08 years of experience as a Data Engineer and AWS Architect, specializing in AWS Lambda, EC2, AWS Terraform, AI and Python. My expertise also includes CI/CD, Docker, and Kubernetes, with a strong focus on SQL and Python. In recent years, I’ve expanded my skillset into AI Engineering, building and integrating AI systems, LLM-powered workflows, and end-to-end pipelines for scalable machine learning and NLP applications. Key Skills: ✅ AWS Services: AWS Lambda, EC2, AWS Terraform ✅ CI/CD: AWS CI/CD, DevOps CI/CD, GitLab CI/CD, Azure DevOps CI/CD ✅ Containerization: Docker, Kubernetes, DevOps Docker, DevOps Kubernetes, Azure Kubernetes ✅ Programming: Python, Python AWS, Python Docker ✅ Infrastructure as Code: Terraform, AWS Terraform, GCP Terraform, Azure Terraform ✅ DevOps Engineering: AWS DevOps, Azure DevOps, DevOps Engineer, Azure DevOps Engineer, AWS Developer ✅ Architecture: AWS Architect, Azure Architect ✅ Data Engineering: Azure Data Engineer ✅ AI Engineering: AI workflow orchestration, LLM API integration (OpenAI, Anthropic), vector DB (Pinecone, FAISS) ✅ AI Development: Chatbot development, Retrieval-Augmented Generation (RAG), prompt engineering ✅ AI Integration: Twilio/OpenAI/WhatsApp bots, serverless AI systems, cloud-native AI pipelines As a versatile cloud and AI engineer, I provide high-quality services tailored to your specific needs. My expertise ensures I can deliver comprehensive and cost-effective solutions for your business. When you choose to work with me, you'll get: ⭐️ Clear, effective communication ⭐️ Quality recommendations to ensure project success ⭐️ A focused, collaborative approach with your team ⭐️ A results-focused approach that delivers value Here are some technical specialties I can help you with: ✅ AWS Services: AWS Lambda, EC2, AWS Terraform ✅ CI/CD: AWS CI/CD, DevOps CI/CD, GitLab CI/CD, Azure DevOps CI/CD ✅ Containerization: Docker, Kubernetes, DevOps Docker, DevOps Kubernetes, Azure Kubernetes ✅ Programming: Python, Python AWS, Python Docker ✅ Infrastructure as Code: Terraform, AWS Terraform, GCP Terraform, Azure Terraform ✅ AI Workflows & Integration: AI chatbots, API orchestration, serverless AI pipelines, LLM applications Let's discuss how I can help you achieve your goals! - - - - - - BuzzWords: ``` aws OR amazonwebservices OR dataengineering OR data OR lambda OR athena OR redshift OR stepfunctions OR eventbridge OR ses OR sns OR iam OR cloudformation OR sdk OR pythonsdk OR s3 OR cloudwatch OR costexplorer OR dms OR lambdatrigger OR glue OR awsglue OR gluecrawler OR awsgluecrawler OR SQL OR windowfunction OR rownum OR cte OR storedprocedures OR storedprocedure OR tableau OR tableauprep OR tableauonline OR tableaucloud OR airflow OR airbyte OR teraform OR cloud OR migration OR sql OR python OR infrastrcture OR etl OR etlpipeline OR pipeline OR datatransformation aws OR amazonwebservices OR dataengineering OR data OR lambda OR athena OR redshift OR stepfunctions OR eventbridge OR ses OR sns OR iam OR cloudformation OR sdk OR pythonsdk OR s3 OR cloudwatch OR costexplorer OR dms OR lambdatrigger OR glue OR awsglue OR gluecrawler OR awsgluecrawler OR SQL OR windowfunction OR rownum OR cte OR storedprocedures OR storedprocedure OR tableau OR tableauprep OR tableauonline OR tableaucloud OR airflow OR airbyte OR teraform OR cloud OR migration OR sql OR python OR infrastrcture OR etl OR etlpipeline OR pipeline OR datatransformation aws OR amazonwebservices OR dataengineering OR data OR lambda OR athena OR redshift OR stepfunctions OR eventbridge OR ses OR sns OR iam OR cloudformation OR sdk OR pythonsdk OR s3 OR cloudwatch OR costexplorer OR dms OR lambdatrigger OR glue OR awsglue OR gluecrawler OR awsgluecrawler OR SQL OR windowfunction OR rownum OR cte OR storedprocedures OR storedprocedure OR tableau OR tableauprep OR tableauonline OR tableaucloud OR airflow OR airbyte OR teraform OR cloud OR migration OR sql OR python OR infrastrcture OR etl OR etlpipeline OR pipeline OR datatransformation aws OR amazonwebservices OR dataengineering OR data OR lambda OR athena OR redshift OR stepfunctions OR eventbridge OR ses OR sns OR iam OR cloudformation OR sdk OR pythonsdk OR s3 OR cloudwatch OR costexplorer OR dms OR lambdatrigger OR glue OR awsglue OR gluecrawler OR awsgluecrawler OR SQL OR windowfunction OR rownum OR cte OR storedprocedures OR storedprocedure OR tableau OR tableauprep OR tableauonline OR tableaucloud OR airflow OR airbyte OR teraform OR cloud OR migration OR sql OR python OR infrastrcture OR etl OR etlpipeline OR pipeline OR datatransformation

I enjoy working on challenging projects that require creativity and innovation, especially when they are able to directly help people. Expert-vetted as among the top 1% of the Upwork platform. Experience Includes: Working with Tableau for over 10 years now, including experience working within Tableau at the Austin office, in the start up space, a Tableau consultancy, as well as enterprise level lead at a Fortune 500 supporting 7500 active users. I have extensive experience with Tableau Desktop and significant experience in Tableau Server/Online. Tableau is my forte, but I am also skilled in Mapbox, GCP, SQL, Excel, and G Suite, with ETL and AWS experience. In addition to development and advice I also offer tutoring.

𝐃𝐞𝐯𝐎𝐩𝐬 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 + 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 = 𝐅𝐚𝐬𝐭𝐞𝐫 𝐫𝐞𝐥𝐞𝐚𝐬𝐞𝐬, 𝐬𝐦𝐚𝐫𝐭𝐞𝐫 𝐢𝐧𝐬𝐢𝐠𝐡𝐭𝐬, 𝐚𝐧𝐝 𝐬𝐜𝐚𝐥𝐚𝐛𝐥𝐞 𝐜𝐥𝐨𝐮𝐝 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 I’m a 𝐃𝐞𝐯𝐎𝐩𝐬 & 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 with strong expertise in multi-cloud platforms (𝐀𝐖𝐒, 𝐀𝐳𝐮𝐫𝐞, 𝐆𝐂𝐏) and a solid background in Python backend development, ETL/ELT pipelines, and data workflows. I specialize in designing cloud-native systems that are secure, automated, and optimized for performance and cost. 𝐇𝐨𝐰 𝐈 𝐜𝐚𝐧 𝐡𝐞𝐥𝐩 𝐲𝐨𝐮: - Automate CI/CD pipelines (GitHub Actions, Jenkins, Azure DevOps) - Deploy & manage infrastructure with Terraform, Ansible, Docker, Kubernetes - Build reliable ETL/ELT pipelines for data ingestion, transformation, and analytics - Develop Python backend services for APIs, microservices, and automation - Manage cloud databases (SQL & NoSQL) and data warehouses (BigQuery, Redshift, Snowflake, Azure Synapse) - Integrate workflows with dbt, Airflow, and cloud-native data services - Cloud monitoring, logging, and cost optimization (CloudWatch, Azure Monitor, GCP Logging, Grafana) 𝐒𝐤𝐢𝐥𝐥𝐬 & 𝐓𝐨𝐨𝐥𝐬: - Cloud Platforms: AWS, Azure, GCP - DevOps: CI/CD, Terraform, Ansible, Jenkins, GitHub Actions, Docker, Kubernetes - Data Engineering: ETL/ELT, dbt, Apache Airflow, Data Warehousing - Programming: Python, Bash, SQL - Databases: MySQL, PostgreSQL, DynamoDB, MongoDB, BigQuery, Redshift - Monitoring & Logging: Prometheus, Grafana, ELK, CloudWatch, Azure Monitor 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬: - Automated multi-cloud CI/CD pipelines that reduced release cycles by 60% - Built scalable ETL workflows moving terabytes of data daily across AWS & GCP - Migrated on-premise systems to Azure and AWS with zero downtime - Designed Kubernetes clusters to run both data pipelines and microservices efficiently I focus on clear communication, fast delivery, and building systems that scale with your business needs. 𝐋𝐞𝐭’𝐬 𝐜𝐨𝐧𝐧𝐞𝐜𝐭 𝐚𝐧𝐝 𝐝𝐢𝐬𝐜𝐮𝐬𝐬 𝐡𝐨𝐰 𝐈 𝐜𝐚𝐧 𝐡𝐞𝐥𝐩 𝐲𝐨𝐮 𝐰𝐢𝐭𝐡 𝐃𝐞𝐯𝐎𝐩𝐬 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧, 𝐝𝐚𝐭𝐚 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠, 𝐚𝐧𝐝 𝐜𝐥𝐨𝐮𝐝-𝐧𝐚𝐭𝐢𝐯𝐞 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 𝐭𝐨 𝐝𝐫𝐢𝐯𝐞 𝐲𝐨𝐮𝐫 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐟𝐨𝐫𝐰𝐚𝐫𝐝!

Snowflake, dbt and Microsoft Certified Cloud Professional Experienced Lead Data Engineer with strong communication skills and sound technical background. Well developed problem solving attributes and excellent understanding of business concepts and customer needs. I help businesses build scalable, high-performance and cost effecitve data solutions. What I Offer: 🔹 End-to-End Data Engineering – ETL/ELT pipeline development, data modeling, and warehousing 🔹 Snowflake and dbt Migrations – Seamless transitions to modern cloud platforms 🔹 Performance Optimization – Faster queries, cost-efficient storage and compute, scalable architecture 🔹 Automation & Workflow Optimization – Reduce manual effort, ensure data reliability 🔹 Mentoring – Working 1-2-1 with individuals or help lead teams with new technologies. Data Engineering Skills: 🔹 Programming Languages – Python, SQL 🔹 Data Ingestion – Airbyte, dltHub, Azure Data Factory 🔹 Data Warehouses – Snowflake, SQL Server, PostgreSQL, DuckDB 🔹 Data Modeling – Kimball, DataVault 2.0 🔹 Transformation – dbt Core/Cloud, Stored Procedures, Streams, Dynamic Tables 🔹 Orchestration and Scheduling – Airflow, Azure Data Factory 🔹 Visualization – Power BI, Quicksight 🔹 Cloud - Azure, AWS Certifications: ✔ Snowflake SnowPro Core certified 3 times ✔ dbt Certified Developer ✔ Azure AZ-900 ✔ Microsoft Exam 70-461: Querying Microsoft SQL Server 2012/2014 ✔ Microsoft Exam 70-463: Implementing a Data Warehouse with Microsoft SQL Server 2012