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🏆 TOP RATED PLUS Data Expert | Top 3% on Upwork 💰 $500K+ earned | 16,000+ hours | 130+ clients served I am a Sr Data Engineer with expertise in developing robust AI Agents & Analytics layer. I bring over 8 years of hands-on experience with: - Building scalable ETL data pipelines that fetch raw data froms APIs and store it into data warehouses hosted over GCP/AWS (BigQuery | Snowflake | Redshift). - Developing Business Intelligence reports and dashboards using Data Studio (formerly Looker Studio), Metabase, Looker, Tableau etc. - Building powerful AI Agents using Gemini, Claude, OpenAI, Dialogflow. - Track user behaviour data using GA4 and Google Tag Manager. I’ve worked with 130+ clients across eCommerce (Shopify, WooCommerce), digital marketing & paid ads (Meta, Google Ads), mobile apps & gaming analytics, SaaS & web apps, and data-driven businesses in education, clean energy & media. 💡 What I do (End-to-End Ownership) 1. Data Engineering & Warehousing: - Build scalable, reliable data pipelines using BigQuery, Snowflake, Redshift, Python and APIs of data sources - Automated ETL (Airflow, APIs, Fivetran, custom Python scripts) - Single source of truth across marketing + product + revenue 2. Analytics & BI (Decision Systems, not just dashboards): - Executive dashboards (Looker, Data Studio (formerly Looker Studio), Metabase, Power BI, Tableau) - KPI frameworks aligned to revenue - Cohort, LTV, attribution & funnel analysis 3. Marketing & Web Tracking (Accuracy = $$$) - GA4, Google Tag Manager, Server-side tracking - Meta CAPI, Google Ads, TikTok tracking - Fix broken attribution & data loss 4. Generative AI & Automation - AI agents & workflows (OpenAI, Gemini, Claude) - Automate reporting, insights, and ops - Use AI where it actually improves ROI (not hype) 📈 Real Outcomes I’ve Delivered ✔ Built full marketing data warehouse → improved spend efficiency by 30%+ ✔ Fixed tracking & attribution → recovered lost revenue visibility ✔ Automated reporting → saved 20+ hrs/week for teams ✔ Delivered exec dashboards → faster, data-backed decisions 🧠 Why Clients Choose Me - I think like a business owner, not just an engineer - I focus on revenue impact, not vanity metrics - I handle end-to-end (tracking → pipelines → dashboards → insights) - Strong communication + fast execution (no hand-holding needed) 📈 My Tech Stack: - Business Intelligence & Data Visualisation: Google Data Studio (formerly Looker Studio) , Looker, Metabase, Power BI, Mode, Tableau, Databox, Zoho Analytics, DOMO, Google Sheets, etc. - AI: LLMs like OpenAI, ChatGPT, Gemini, Claude, DeepSeek, and GCP's services like Document AI, DialogFlow, CCAI, etc. - Engineering: SQL, Python, Airflow, APIs, Cloud Functions, Lambda Functions, Cloud Composer, Cloud Run - Data Warehouses: BigQuery, Redshift, MS SQL, MySQL, PostgreSQL, Snowflake, and Azure. - ETL & Webhook tools: n8n, Fivetran, Stitch, Windsor, Supermetrics, Power My Analytics, Saras Analytics, Zapier, Make, etc. - Tracking: Google Tag Manager, Google Analytics 4, Meta Ads Conversion API, Google Ads Conversion tracking, Stape, Server-side tracking. - Data Sources: Shopify, WooCommerce, BigCommerce, Meta Ads, Google Ads, TikTok Ads, Pinterest Ads, LinkedIn Ads, Apple Ads, Amazon Ads, Bing Ads, Google Analytics 4, Google Search Console, Google My Business, HubSpot, Active Campaign, PipeDrive, Facebook Page Insights, Instagram Insights, Stripe, SEMRush, MailChimp, Klaviyo, ClickUp, Ahref, etc. 👉 Let’s Work If you’re looking for someone who can own your entire data stack and turn it into a revenue engine, let’s talk. Click “Invite” and let’s discuss your use case 🚀 ----- 🔍 𝗞𝗘𝗬𝗪𝗢𝗥𝗗𝗦 GA4, Google Analytics 4, Google Tag Manager (GTM), Server-side Tracking, Meta Conversion API (CAPI), Google Ads Conversion Tracking, Marketing Attribution, BigQuery, Snowflake, Redshift, Data Warehouse, Big Data, Data Engineering, ETL, ELT, Data Pipelines, Apache Airflow, Airflow DAGs, PySpark, Spark, Databricks, SQL, Python, Advanced SQL, Data Modeling, Data Transformation, Data Architecture, Data Lakes, Data Studio, Looker Studio, Power BI, Tableau, Data Visualization, Dashboard Development, Business Intelligence (BI), KPI Dashboard, Reporting Automation, Shopify Analytics, WooCommerce Analytics, Marketing Analytics, Product Analytics, Funnel Analysis, Cohort Analysis, LTV Analysis, Retention Analysis, Generative AI, OpenAI, ChatGPT, Gemini, Claude, AI Agents, AI Automation, AI Agents, LLM Applications, n8n, Workflow Automation, No-code Automation, Low-code Automation, Zapier, Make (Integromat), API Integrations, Webhooks, Stripe, HubSpot, Google Ads, Meta Ads, TikTok Ads, LinkedIn Ads, Cloud Platforms (GCP, AWS), Cloud Functions, AWS Lambda, Data Orchestration

Looker Studio & Google Analytics specialist who builds the whole stack and not just the front end. I pipe GA4, ad-platform and database data into BigQuery using Windsor.ai, Airbyte and dbt, then build clean, reliable Looker Studio and Metabase dashboards your marketing and e-commerce teams actually use. I build AI ready data pipelines designed from the start so AI agents and MCPs can run on top of them reliably. That means clean schemas, dbt documented metadata, and context engineering: structuring what Claude or any LLM knows about your data so it answers business questions correctly, not just quickly. Claude MCP integrations connect AI directly to live databases. Architecture and QA on every project is overseen by a BI Veteran with 12 years of experience. Work that used to take 2 to 3 weeks delivered in 3 to 5 days — not by cutting corners, but by validating continuously as we build. 🎯 My focus is simple like clean data models, reliable KPIs, and dashboards people actually open. 🛠️ What I build (end to end): ✅ Marketing & web data pipelines: automated ingestion from GA4, Google Ads, Meta or Facebook, Shopify, databases and APIs into BigQuery using Windsor.ai, Airbyte and dbt for staging, intermediate and fact models, GitHub version control, and monitoring or alerts so the data stays reliable. ✅ Google Analytics reporting: GA4 and web data exported into BigQuery for complete historical data, then modeled into decision-ready Looker Studio dashboards. ✅ Looker Studio & Metabase dashboards: interactive marketing, web and e-commerce reporting calculated fields, period comparisons (MoM, YoY, growth %), running totals, filters, permissions and governance. ✅ Automated reporting: scheduled, hands-off pipelines that build and deliver client reports on a daily cadence, so your team stops rebuilding spreadsheets. ✅ BigQuery & SQL: advanced SQL (PostgreSQL, MySQL, BigQuery), query optimization, complex joins and CTEs, and clean star-schema models. 📌 Recent work: ✅ An automated marketing reporting pipeline that produces and delivers per client dashboards every day, unattended. ✅ Multi clinic lead and performance analytics for a 30 location network (GoHighLevel to Cloud Run to BigQuery to Looker Studio). ✅ GA/GA4 web analytics dashboards for global and EU e-commerce sites. ✅ Amazon Selling Partner sales, profit, margin and returns analytics in Metabase on a dbt and BigQuery pipeline. 💡 How I add value: ✅ I own the whole flow from raw source to the dashboard, so nothing breaks between the pipeline and the report. ✅ I translate business and marketing questions into structured data and clear KPIs. ✅ I build scalable models and pipelines so reporting stays reliable as you grow. ✅ I keep data accurate, consistent and governed. I don't just build dashboards; I build the pipeline and the dashboard, so your numbers are trustworthy end to end. 🤝 Why clients work with me: ✅ Strong SQL and data modeling foundation ✅ Clean, structured, well documented development ✅ Business focused mindset, not just technical ✅ Clear communication and reliable long term collaboration 📩 If you need a marketing or web analytics stack built right from BigQuery pipelines to Looker Studio and Metabase dashboards, send me a message and let's turn your data into clarity.

🏆 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, warehouses they cannot trust, and data infrastructure that was 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, DynamoDB, MongoDB 📊 BI & Reporting: Looker, Tableau, Power BI, 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 diagnosed the bottlenecks, restructured the job logic, and cut 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 something your team can trust, send a quick message about your project and I'll take it from there.

I am a Data-Driven Marketing and Analytics Expert specializing in PPC management for platforms like Meta Ads and Google Ads. My expertise encompasses both leveraging analytics tools and optimizing advertising strategies to drive impactful results for businesses. My experience includes using a variety of Martech tools like Google Analytics (GA4), Google Tag Manager, Mixpanel, Amplitude, Heap, PostHog, Segment, Rudderstack, and AppsFlyer to track and optimize every step of the customer journey. I excel at setting up robust tracking systems to ensure all touchpoints are captured and utilized effectively. I manage and optimize advertising campaigns across multiple platforms, ensuring that ads reach the right audience while maximizing ROI. My approach combines strategic ad placements with comprehensive analytics to deliver impactful results. In addition to PPC management, I'm skilled in automating marketing workflows with platforms like Make.com, Zapier, and N8N. I have supported numerous businesses in integrating AI-driven automations to streamline their operations and enhance decision-making processes. For insights and performance tracking, I utilize data visualization tools such as Looker Studio, Metabase, and Databox. My proficiency in programming languages like JavaScript, Python, and SQL enables me to create customized solutions tailored to specific business needs. If you're looking to enhance your marketing strategy with data-driven insights and innovative ad campaigns, let's connect. I am happy to discuss how my skills and experience can benefit your business.

🎖️ 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.