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🏆 AWS Certified Generative AI Developer - Professional 🏆 AWS Certified Machine Learning – Specialty 🏆 AWS Certified Data Analytics – Specialty 🏆 Google Cloud Professional Machine Learning Engineer 🏆 Google Cloud Professional Cloud Architect I help businesses design, build, and deploy production-ready Generative AI applications powered by LLMs, AI Agents, RAG pipelines, Voice AI, and workflow automation. With 8+ years of experience in Machine Learning, NLP, Computer Vision, and Cloud AI, I specialize in transforming AI prototypes into scalable, enterprise-grade solutions running on AWS, GCP, and Kubernetes. What I Build ✅ AI Agents & Agentic Workflows * Single-Agent & Multi-Agent Systems * LangGraph Agent Development * MCP (Model Context Protocol) Integrations * Tool Calling & Function Calling Agents * Autonomous Research & Task Execution Agents * AI Workflow Automation ✅ RAG & Enterprise Search * Retrieval-Augmented Generation (RAG) * Enterprise Knowledge Assistants * Internal Documentation Chatbots * PDF, SharePoint, Confluence & Website Search * Hybrid Search (Vector + Keyword) * Agentic RAG Architectures ✅ Conversational AI & Voice AI * AI Chatbots * Customer Support Assistants * AI Voice Agents * Call Center Automation * Real-Time Speech-to-Speech Applications * Voice Ordering & Appointment Booking Systems GenAI Technologies 📍 LLMs OpenAI GPT-4o, GPT-5, Claude, Gemini, Llama, Mistral, Gemma, AWS Bedrock 📍 Agent Frameworks LangGraph, LangChain, LlamaIndex, CrewAI, AutoGen, LangSmith, LangFuse 📍 Vector Databases Pinecone, Qdrant, Weaviate, Milvus, ChromaDB, pgvector, Elasticsearch, Redis 📍 Voice AI Vapi, ElevenLabs, Deepgram, AssemblyAI, Whisper 📍 Prompt Engineering & Optimization DSPy, TextGrad, Structured Outputs, Guardrails 📍 LLM Deployment vLLM, Hugging Face TGI, TensorRT-LLM, Ray Serve, TorchServe Machine Learning & MLOps 📍 TensorFlow 📍 PyTorch 📍 Hugging Face 📍 Scikit-Learn 📍 Spark ML 📍 Forecasting & Predictive Analytics 📍 Computer Vision Solutions Cloud & Infrastructure AWS: Bedrock, SageMaker, Lambda, ECS, EKS, Textract, Comprehend, Rekognition, Transcribe, Polly, Forecast, Personalize Google Cloud: Vertex AI, Agent Builder, Gemini, Document AI, Dialogflow CX, GKE, Cloud Run, Cloud Functions Azure: Azure OpenAI, Azure ML Infrastructure: Kubernetes, Docker, CI/CD, GitHub Actions, Terraform Industries Served ✔ Retail & eCommerce ✔ Manufacturing ✔ Supply Chain & Logistics ✔ Automotive ✔ Healthcare ✔ Financial Services ✔ Customer Support Operations Whether you need an AI Agent, RAG chatbot, Voice AI solution, LLM-powered application, or a complete GenAI platform deployed on AWS/GCP, I can help take your idea from concept to production.

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

🎖️ 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.

Senior Data Architect trusted by NASA, the UN, and Mayo Clinic. I design and build production-grade data platforms, real-time streaming pipelines, and scalable analytics solutions. From high-throughput ETL/ELT pipelines to enterprise-scale data lakes, I build secure foundations for modern business intelligence and AI agents with a flawless 100% Job Success rate. If you are looking for a basic SQL scriptwriter, I am not the right fit. I specialize in complex digital transformation, big data architecture, and cost-optimized cloud infrastructure built for enterprise-scale reliability. 🚀 PROVEN CREDIBILITY * Enterprise Portfolio: Trusted to architect mission-critical data ecosystems for NASA, the United Nations, GE, Alstom, Mayo Clinic, Kaiser Permanente, United Health, and Certainti.ai. * Flawless Performance: 100% Job Success Score with consistent 5-star validation from technical stakeholders and data leaders. * AI-Ready Infrastructure: Expert at structuring raw, fragmented data into highly optimized vector data stores and clean pipelines ready for enterprise AI deployment. 📊 ENTERPRISE DATA ENGINEERING SERVICES * End-to-End Data Platforms: Architectural design and execution of data warehouses, modern data lakes, and centralized lakehouses from MVP to production scale. * Robust ETL/ELT Pipelines: Designing automated, resilient, and optimized data movement workflows to eliminate data silos. * Real-Time Data Streaming: Deploying low-latency, real-time data ingestion and processing layers for instant business insights. 🛠️ TECHNICAL CORE & CLOUD ECOSYSTEM * Cloud Data Warehouses: Snowflake, AWS Redshift, Azure Synapse, Microsoft Fabric, OneLake. * Big Data & Streaming: Apache Spark, PySpark, Apache Kafka, Databricks. * BI & Analytics: Power BI, Tableau, advanced data modeling, and robust data governance frameworks. Let’s connect to discuss how we can optimize your data infrastructure for scale, speed, and AI readiness.

I'm a Senior Data Engineer with 8+ years of strong technical expertise in building reliable and scalable data infrastructure, from data ingestion to transformation to warehousing, streaming, and data analytics, specializing in dbt, Snowflake, Airflow, Databricks (and more) across AWS, Azure, and GCP, with robust ELT and ETL pipelines. If your data pipelines are brittle, your data warehouse is slow, or your data was never built to scale, that is exactly what I fix, with fault tolerance, observability, and audit-ready quality engineered in from day one. I cover the full data engineering lifecycle: batch and real-time data pipelines, Modern Data Stack builds, lakehouse architecture, cloud and warehouse data migration, governance, and the data foundations that feed modern systems. 🎯 Core Expertise: ✅ Data Pipelines & Orchestration: End-to-end batch and real-time pipelines with Apache Airflow, Dagster, Prefect, AWS Step Functions, and Azure Data Factory. Idempotent, schema-drift tolerant, and monitored so failures surface before they reach your stakeholders. ✅ Cloud Warehousing & Lakehouse: Snowflake, BigQuery, Amazon Redshift, Databricks, and Microsoft Fabric, with Delta Lake and Apache Iceberg lakehouse foundations governed through the Glue Data Catalog and Lake Formation, with Athena and Redshift Spectrum for serverless queries, Medallion Architecture, partitioning, and performance tuning. ✅ Data Transformation & Modeling: dbt (Core and Cloud), SQLMesh, Spark and PySpark on EMR and AWS Glue, Star Schema and dimensional modeling, analytics engineering best practices, full test coverage, and CI/CD for data models. ✅ Streaming & Real-Time Analytics: Distributed streaming with Apache Kafka, Flink, Spark Structured Streaming, Kinesis, and Pub/Sub, including exactly-once semantics, dead-letter queues, CDC, and end-to-end latency guarantees. ✅ Data Ingestion & Integration: Fivetran, Airbyte, Matillion, Stitch, Hevo, Meltano, and custom CDC pipelines for near-real-time sync across structured, semi-structured, and unstructured sources. ✅ Data Quality, Governance & Observability: Automated data quality frameworks, SLA monitoring, auditable lineage, data catalog and metadata management, and observability that catches bad data early. ✅ Cloud Migration & Modernization: Zero-downtime migration handled end to end, from legacy warehouse assessment through cutover, with zero data loss and minimal downtime, replacing brittle ETL and ELT with a clean Modern Data Stack. ✅ AI-Ready Data Infrastructure: Pipelines engineered to feed LLMs and ML systems with clean, structured, high-quality data, from ingestion through transformation to serving. ------------------------------------------------------ ⚙️Tech Stack: ⚡ Warehouses & Lakehouse: Snowflake | BigQuery | Redshift | Databricks | Microsoft Fabric | Athena | Delta Lake | Iceberg ⚡ Transformation: dbt | SQLMesh | Spark | PySpark | AWS Glue | EMR | Star Schema | Medallion Architecture ⚡ Orchestration: Airflow (GCP Cloud Composer and AWS MWAA) | Dagster | Prefect | Azure Data Factory | Step Functions ⚡ Streaming: Kafka | Flink | Kinesis | Pub/Sub | Spark Structured Streaming | ClickHouse ⚡ Ingestion: Fivetran | Airbyte | Matillion | Stitch | Hevo | Meltano | CDC ⚡ Governance & Catalog: Glue Data Catalog | Lake Formation | Unity Catalog | Microsoft Purview | Dataplex ⚡ Cloud: AWS | GCP | Azure ⚡ Languages: Python | SQL (Snowflake, BigQuery, T-SQL, PL/pgSQL) | FastAPI ⚡ Databases: PostgreSQL | MySQL | SQL Server | DynamoDB | MongoDB ⚡ BI & Reporting: Looker | Tableau | Power BI | GA4 | Metabase | Superset | Streamlit | Grafana ------------------------------------------------------ ⭐ 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 🏅 "Clean architecture, solid dbt models, and Airflow pipelines 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 him with a Spark pipeline costing us a fortune and delivering stale data. He restructured the workflow logic and cut processing time by 70%." – Leo, Head of Analytics, HealthTech SaaS ------------------------------------------------------ 🏆 TOP RATED PLUS | EXPERT-VETTED | Top 1% on Upwork | 8+ Years Experience | 100% Job Success 🚀 Ready to build a scalable, production-ready data infrastructure to turn your raw data into reliable, actionable business insights? Click the 'Invite to Job' button on the top right, and let's discuss your data pipeline!

Businesses don't struggle because they lack data, they struggle because they don't know what their data is telling them. I help startups, growing businesses, and enterprise teams transform raw data into decisions that increase revenue, improve operational efficiency, and accelerate business growth. Over the past 7+ years, I've delivered analytics solutions across SaaS, E-commerce, FinTech, OTT, Mobility, Healthcare, and Marketing, working with organizations ranging from startups to large enterprises. Here's how I've helped businesses ✔ Increased marketing reporting efficiency by 70% through automated BI dashboards & reports. ✔ Built predictive analytics models that contributed to 15% revenue growth. ✔ Developed end-to-end reporting ecosystems using SQL, Python, BigQuery, APIs, and cloud platforms. ✔ Built executive dashboards that enable founders and leadership teams to make faster, data-driven decisions. ✔ Automated repetitive reporting workflows, saving hundreds of manual hours annually. Services I Offer ** Business Intelligence & Dashboards • Looker Studio • Power BI • Tableau • Executive KPI Dashboards • Operational Reporting • Financial Reporting • Interactive Business Dashboards ** Data Analytics • SQL (Advanced) • Python (Pandas, NumPy) • Customer Analytics • Product Analytics • Marketing Analytics • Funnel Analysis • Cohort Analysis • Customer Segmentation • A/B Testing • Revenue Analytics ** Data Engineering • BigQuery • PostgreSQL • MySQL • Amazon Redshift • Amazon Athena • API Integrations • ETL Pipelines • Data Warehousing ** AI & Automation • AI-powered Reporting • Claude AI • OpenAI • Workflow Automation • Python Automation • Automated Data Pipelines Industries I've Worked With • SaaS • E-commerce • D2C Brands • FinTech • Healthcare • Education • OTT Platforms • Mobility • Digital Marketing Agencies • Consulting Firms Why Clients Hire Me I don't just create dashboards. I help answer questions like: • Why are sales declining? • Which marketing channels actually generate profit? • Where are customers dropping off? • Which KPIs should leadership track? • How can reporting become fully automated? • How can AI reduce manual work? My focus is always on delivering business outcomes—not just charts and reports. Technologies SQL • Python • BigQuery • Looker Studio • LookML • Power BI • Tableau • Google Analytics 4 • Google Cloud Platform • Amazon Redshift • Amazon Athena • PostgreSQL • MySQL • Excel • Google Sheets • APIs • Docker • OpenAI • Claude If you're looking for someone who can combine technical expertise with business thinking—and communicate insights clearly to both technical and non-technical stakeholders—I'd be happy to discuss your project. Let's build analytics that drive decisions, not just dashboards.