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🏆 TOP RATED PLUS || Top 1% on Upwork || Expert Vetted || 8+ Years of Experience || 100% Job Success🌟 Most data teams are held back by unreliable pipelines, untrustworthy warehouses, and data infrastructure never built to scale. That's exactly what I fix. As a Senior Data Engineer, I don't just write SQL and call it a pipeline. I architect end-to-end data systems where reliable ingestion feeds into clean, versioned transformations that power decisions your business can act on. My approach prioritizes fault tolerance, scalability, and observability across both batch processing and real-time analytics workloads. This ensures your data infrastructure is not just functional, but resilient and audit-ready. Whether you need cloud data migration, data platform modernization to a Modern Data Stack (Snowflake/dbt/Airflow, Microsoft Fabric), or streaming analytics infrastructure, I deliver production-grade systems that help technical founders and data teams eliminate pipeline debt, automate complex data workflows, and build scalable infrastructure ready for AI workloads. ------------------------ Where I make the biggest impact: ✅ I lead data migration and data platform modernization projects, replacing brittle ETL and ELT pipelines with a Modern Data Stack built on Snowflake, dbt, Airflow, and Microsoft Fabric. ✅ Every engagement includes Medallion Architecture design, full test coverage, CI/CD for data models, data lineage tracking, and documentation that outlasts the project. ✅ I design data pipelines for both batch processing and real-time analytics, idempotent, schema-drift tolerant, and monitored through data observability frameworks, so failures are caught before they reach your stakeholders. ✅ Warehouse models are built to serve the business: Star Schema, dimensional modeling, dbt projects, analytics engineering best practices, and a metrics layer backed by a data catalog and metadata management. ✅ I architect distributed systems for big data and streaming analytics, including Kafka, Flink, Spark Structured Streaming, exactly-once semantics, dead-letter queues, and end-to-end latency guarantees. ✅ AI data pipelines are engineered to feed LLMs and ML systems with clean, structured, high-quality data, from ingestion through transformation to serving. ✅ I bring governance to data platforms through data mesh, data catalog implementation, metadata management, and data integration across systems. ✅ Data quality and data reliability are enforced end to end, with automated frameworks, SLA monitoring, auditable lineage, and observability that catches bad data before it reaches your stakeholders. ✅ I build AI-ready data infrastructure and lakehouse foundations, Delta Lake, Apache Iceberg, cloud data architecture, and CDC pipelines for near-real-time sync. ✅ Cloud data migration is handled end to end, from legacy warehouse assessment through cutover, with zero data loss and minimal downtime. ------------------------ What I Build With: 🗄️ Warehouses, Lakehouses & Data Lakes: Snowflake, BigQuery, Redshift, Databricks, Microsoft Fabric, Delta Lake, Iceberg ⚙️ Transformation: dbt (Core & Cloud), SQLMesh, Spark, PySpark, Star Schema, Medallion Architecture 🔁 Orchestration: Airflow, Dagster, Prefect, Azure Data Factory, Microsoft Fabric 📨 Streaming: Kafka, Kinesis, Pub/Sub, Flink, Fabric Eventstream 🔗 Ingestion: Fivetran, Airbyte, Matillion, Stitch, Hevo, Meltano, CDC pipelines ☁️ Cloud: AWS, GCP, Azure 🐍 Languages: Python, SQL (Snowflake, BigQuery, T-SQL, PL/pgSQL) 🗃️ Databases: PostgreSQL, MySQL, SQL Server, Oracle, DynamoDB, MongoDB 📊 BI & Reporting: Looker, Tableau, Power BI, GA4, Metabase, Superset, Streamlit ------------------------ What Clients Say: ⭐ "Adarsh rebuilt our analytics pipeline on Snowflake, Airflow, and dbt, giving us reliable, version-ready data. Reporting accuracy improved overnight, and we can finally trust the numbers." – Anita, Head of Product, FinTech SaaS ⭐ "He designed a zero-downtime migration to a modern data warehouse that cut query latency by more than half while keeping our SLAs intact." – Daniel, VP of Data, AdTech Firm ⭐ "Adarsh built our entire data platform from the ground up. Clean architecture, solid dbt models, and Airflow pipelines that have been running without issues for months. He brought a level of engineering discipline we hadn't seen from a data consultant before." – Mark, Director of Data Engineering, E-commerce Startup ⭐ "We came to Adarsh with a Spark pipeline that was costing us a fortune and delivering stale data. He identified the bottlenecks, restructured the workflow logic, and reduced our processing time by 70%. Technically sharp, communicates clearly, and delivers without hand-holding." – Leo, Head of Analytics, HealthTech SaaS ------------------------ 🚀 Let's Build Your Data Foundation. If your data infrastructure needs to be faster, cleaner, and trustworthy, send a quick message about your project, and I'll take it from there.

🎖️ Top-Rated Developer 🏆 19 Projects Completed 🎖️ Award Winning Full Stack Data Analytics 🥇 AWS Certified 🥇 Tableau Certified 🥇 Microsoft Certified 🥇 IBM Certified 🥇 Google Certified Expertise in: 1️⃣ Cloud Exert (AWS) 2️⃣ IoT Data Architecture 3️⃣ Data Integration & ETL 4️⃣ Data Warehousing 5️⃣ Business Intelligence & Reporting 6️⃣ Data Engineering and Data Science ETL Tools Expertise we posses 🔵 Alteryx 🔵 Talend 🔵 Python/DBT/Airflow 🔵 SQL servers (Snowflake, Redshift, MYSQL, Microsoft SQL) Data Visualisation Expertise we posses 🟠 Tableau 🟠 Power BI 🟠 Google Data Studio (looker) 🟠 Domo 🟠 Qlik Sense 💻 Why Choose Me: I believe in working hand-in-hand with my clients to really understand what makes their business tick. Instead of throwing generic solutions at you, I dig deep to create something that actually fits your specific goals. I'm obsessed with writing clean, well-organized code because let's face it – nobody wants to deal with a messy codebase down the road. My approach means you get software that doesn't just work today, but keeps working beautifully as your business grows and evolves.

🏆 Google Certified TensorFlow Developer 🏆 AWS Certified Machine Learning - Specialty Engineer 🏆 AWS Certified Data Analytics - Specialty Engineer 🏆 GCP Certified Professional Machine Learning Engineer 🏆 Google Cloud Certified Professional Cloud Architect 8+ years of comprehensive industry experience in computer vision, Natural Language Processing (NLP), Predictive Modelling and forecasting. ➤ Generative AI Workflow Automation 📍 Zapier, Airtable, HighLevel, Make.com, and CRM systems. ➤ Generative AI Frameworks 📍 RAG Framework - LangChain, LangGraph, Langfuse, LangSmith, LlamaIndex 📍 Large Language Models (LLMs) - OpenAI GPT, GCP Gemini, Gemma, Embeddings, Imagen, AWS Bedrock, Anthropic - Claude, LLaMA, Mistral 📍LLM serving Framework - vLLM, Ray, TorchServe, Hugging Face TGI, TensorRT-LLM 📍 Vector database - Pinecone, QdrantDB, ChromaDB, Milvus, Weaviate, Redis, Pgvector, Elasticsearch 📍 Prompt Optimization - DSPy, TextGrad 📍 Deepgram, Elevenlabs, vapi.ai, ➤ ML Frameworks 📍 TensorFlow 📍 PyTorch 📍 Huggingface 📍 Keras 📍 Scikit-learn 📍 Spark ML 📍 NVIDIA DeepStream SDK Development ➤ DevOps 📍CI/CD 📍Git, Git Action 📍AWS - CodeCommit, CodeBuild, CodeDeploy, CodePipeline, CodeStar ➤ Cloud Skills 📍 AWS - SageMaker, Comprehend, Translate, Textract, Polly, Forecast, Personalize, Rekognition, Transcribe, IoT Core, IoT Greengrass, Bedrock 📍 GCP - Vertex AI, AutoML, Text-to-Speech, Speech-to-Text, Natural Language AI, Translation AI, Vision AI, Video AI, Document AI, Dialogflow, Contact Center AI, Timeseries Insights API, Recommendations AI, Dialogflow CX, GKE, Vertex AI Agent Builder, Cloud Run, Cloud Function 📍 Azure - Azure ML

I help post-Series-A and enterprise teams turn messy data into the dashboards their executives actually open — and increasingly, the AI agents that act on what those dashboards show. 12 years in BI and data engineering. Top Rated Plus on Upwork for a decade. 200+ clients, 12,000+ hours billed, $300K+ earned here. Where I've worked at depth: - Google (Chronicle / Siemplify) - built their entire BI infrastructure as their first BI hire; stayed five years through the Google acquisition. - British American Tobacco (MAF Group) - Head of Data; built a team of 15 and 100+ pipelines. - Boston Consulting Group - Lead Tableau + Dataiku mentor for 20+ analysts. - Teambuilder (Google Startups) - Tableau→Looker multi-tenant architecture, still active. Three things I do better than most: - BI architecture, not just dashboards. Tableau Certified Architect (2025), Google Certified Professional Data Engineer. I design the warehouse + semantic layer + governance, not just the front-end chart. - Migrations without business downtime. Power BI ↔ Tableau, Cognos → Power BI, Tableau → Metabase/Superset, GA/Adobe → BigQuery. I've done the messy ones. - AI layered on top of BI. Currently building Claude/MCP-driven workflows for proposal analysis, dashboard QA, and decision-agent prototypes. Enrolled in IIT Kharagpur's GenAI + Agentic AI programme (May 2026 – Jan 2027). ⭐⭐⭐⭐⭐ 5.00 across 80+ Jobs 🥇𝗢𝗳𝗳𝗶𝗰𝗶𝗮𝗹 𝗧𝗮𝗯𝗹𝗲𝗮𝘂 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗲𝗱 𝗗𝗲𝘀𝗸𝘁𝗼𝗽 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘀𝘁 𝗮𝗻𝗱 𝗦𝗲𝗿𝘃𝗲𝗿 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁 🥇𝗢𝗳𝗳𝗶𝗰𝗶𝗮𝗹 𝗚𝗼𝗼𝗴𝗹𝗲 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗲𝗱 𝗟𝗼𝗼𝗸𝗲𝗿 / 𝗟𝗼𝗼𝗸𝗠𝗟 𝗗𝗲𝘃 🏆Top Rated Plus for 10 Years, 200+ clients, 12000+ hours worked 🏢𝗘𝗺𝗶𝗻𝗲𝗻𝘁 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗜 𝗵𝗮𝘃𝗲 𝘄𝗼𝗿𝗸𝗲𝗱 𝘄𝗶𝘁𝗵 (𝗝𝘂𝘀𝘁 𝘁𝗵𝗲 𝗯𝗲𝘀𝘁 𝗼𝗳 𝘁𝗵𝗲𝗺) » Google (Google Chronicle) » Boston Consulting Group (BCG) » British American Tobacco » Teambuilder » Hamptons (Emaar) 💡 𝗥𝗲𝗮𝗹 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗽𝗿𝗼𝗯𝗹𝗲𝗺𝘀 𝗜 𝗵𝗮𝘃𝗲 𝘀𝗼𝗹𝘃𝗲𝗱 » Digital Marketing Dashboards integrating Google Ads, Facebook Ads, Reddit Ads data » Tracking Cost, LTV, CLTV, ROAS, CAC, RoI for Digital Marketing Agencies and Companies » eCommerce BI pipelines and dashboards integrating data from Shopify, Magento, Amazon API and various other eCommerce sources » Web Analytics dashboards integrating Google Analytics, Adobe Analytics and Posthog 💡4 𝗥𝗲𝗮𝘀𝗼𝗻 𝘄𝗵𝘆 𝘆𝗼𝘂 𝘄𝗶𝗹𝗹 𝗻𝗼𝘁 𝗿𝗲𝗴𝗿𝗲𝘁 𝗰𝗵𝗼𝗼𝘀𝗶𝗻𝗴 𝗺𝗲 ✔️ 99% Client Success Ratio. My clients particularly love me because I stick through particularly during the hard days ✔️ All Round expertise - Experience with wide variety of tools in Data Visualization, Data Engineering, Data Governance and Gen AI prepares me for complex all-rounder expertise ✔️ 2 years - Average Client Retention time period since I started in Upwork ✔️ Communication & Business Knowledge - I understand what the client wants even though it's a small technical work. And so I deliver what they want and what they need 🛠️𝗠𝘆 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸 𝘿𝙖𝙩𝙖 𝙑𝙞𝙨𝙪𝙖𝙡𝙞𝙯𝙖𝙩𝙞𝙤𝙣 𝙏𝙤𝙤𝙡𝙨 ✔️ Tableau Desktop ✔️ Tableau Server ✔️ Looker ✔️ LookML ✔️ Looker Studio ✔️ Metabase ✔️ Qlik ✔️ Domo 𝘿𝙖𝙩𝙖 𝙀𝙣𝙜𝙞𝙣𝙚𝙚𝙧 / 𝘿𝙖𝙩𝙖 𝙒𝙖𝙧𝙚𝙝𝙤𝙪𝙨𝙚 ✔️ Google Bigquery (Google Certified Professional Data Engineer) ✔️ Snowflake ✔️ Postgres ✔️ Azure Data Lakehouse ✔️ Microsoft SQL Server ✔️ Amazon Redshift ✔️ MongoDB ✔️ Python 𝘿𝙖𝙩𝙖 𝙎𝙤𝙪𝙧𝙘𝙚𝙨 (𝘼𝙘𝙦𝙪𝙞𝙨𝙞𝙩𝙞𝙤𝙣) ✔️ Google Analytics (UA, GA4) ✔️ Adobe Analytics ✔️ Shopify ✔️ Magento ✔️ Amazon eCommerce ✔️ Qualtrics ✔️ IMS Claims ✔️ Google Ads ✔️ Facebook & Instagram Ads ✔️ Reddit Ads ✔️ Salesforce CRM ✔️ Pipedrive CRM ✔️ Go High Level CRM 𝗖𝘂𝘀𝘁𝗼𝗺 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀 𝗜 𝗼𝗳𝗳𝗲𝗿 ✔️ Tableau Desktop Report Creation ✔️ Tableau Server Administration ✔️ Tableau Server Installation ✔️ Tableau Server Upgrade ✔️ Tableau Server backup automation ✔️ Tableau Server Automated Metadata extraction ✔️ Power BI to Tableau Migration ✔️ Excel or Google Sheets to Tableau Migration ✔️ Tableau Prep Flow creation ✔️ Tableau Pulse ✔️ Tableau to Power BI Migration ✔️ IBM Cognos to Power BI Migration ✔️ Tableau to Metabase Migration ✔️ Tableau to Apache Superset Migration ✔️ Tableau Rest API ✔️ LookML Data Modeling and Semantic Layer Development ✔️ Looker Implementation, Setup, and Data Source Integration ✔️ Embedded Analytics and Looker API Integration ✔️ Looker Performance Optimization and Health Checks ✔️ LookML Git Setup ✔️ Rapid Metabase Deployment & Setup ✔️ Metabase User Enablement & Self-Service Training ✔️ Metabase/SQL Optimization & Caching ✔️ Data Modeling & Metadata Governance

Hi, I’m a data analyst who knows how to turn complex data into clear, actionable insights. With over 7 years of experience, I’ve worked on everything from building full-scale dashboards in Looker Studio, Power BI and Tableau to writing Python scripts for deep data analysis and automation. I specialize in creating reporting systems that actually get used by decision-makers, marketers, founders, and product teams. Here’s what I can help you with: Building clear, custom and actionable dashboards in Looker Studio, Tableau, Google Analytics 4 and Power BI Writing advanced SQL and Python scripts for analysis, automation, or data modelling Setting up end-to-end reporting systems that pull from databases, APIs, or cloud platforms Creating technical documentation, articles, or summaries that explain data in plain English Using tools like Docker for containerized analytics workflows Recent projects I’ve delivered include: ----------------------------------------------- A marketing dashboard in Looker Studio that cuts reporting time by 70% for a DTC brand A Python-based prediction model that helped in revenue increment by 15% for a OTT client A GA4 integration with BigQuery to track and report user behaviour for a product based platform A technical whitepaper that simplified a complex data pipeline for investor review Why clients choose me: ----------------------------- I break down complex data problems into easy-to-understand solutions I can work with both technical teams and business users without confusion I write clearly and professionally not just code, but documentation and reports I deliver results that are accurate, scalable, and business-friendly If you need someone who understands both data and communication, I’m here to help. Let’s turn your data into something useful.

Data Integration & Big Data Specialist | Talend, Spark, Airflow, AWS Expert I am a seasoned Data Integration and Big Data Specialist with over 9 years of experience at Sopra Steria, delivering cutting-edge solutions using Hadoop, Talend, Spark, Airflow, and cloud technologies. My expertise lies in designing, implementing, and optimizing robust data pipelines and systems to handle complex business requirements. Key Strengths & Skills Data Engineering Expertise: Proficient in processing large datasets, both structured and semi-structured, with advanced Spark performance tuning to maximize efficiency. Cloud Specialist: Extensive experience in AWS services, including Redshift, S3, EMR, EC2, and Lambda, ensuring scalable and secure data processing. ETL Mastery: Designed and developed highly efficient Talend jobs for ETL processes, with a focus on performance optimization and scheduling in EC2. Orchestration & Automation: Expert in Apache Airflow for orchestration, designing complex DAGs, and automating data validations using shell scripting. CI/CD Implementation: Skilled in implementing CI/CD pipelines using Jenkins, streamlining deployment processes for enhanced efficiency. Cross-System Data Sync: Expertise in synchronizing data between AWS Redshift and Netezza. Notable Achievements Spark Optimization: Successfully tuned Spark jobs for large-scale data processing on Amazon EMR clusters, achieving significant performance improvements. Automation Initiatives: Designed and automated complex data validation frameworks, reducing manual intervention and increasing accuracy. Client Collaboration: Participated in sprint planning meetings, design discussions, and user story clarifications, ensuring smooth development and testing phases. Production Deployment: Led the deployment of Talend and Spark jobs in production clusters with meticulous configuration and monitoring. Education & Certifications B.Tech - Information Technology With a passion for solving data challenges and a proven track record of delivering impactful solutions, I am ready to contribute to your project with efficiency and precision. Let’s collaborate to turn your vision into reality!