Hire the Best Apache Flume Developers in Mumbai, IN

Senior Data Engineer | AWS · Snowflake · Spark · Kafka | 8+ Yrs I build data pipelines that are fast, reliable, and easy on your cloud bill. Currently AVP of Data Engineering at a leading Indian financial services firm, where I lead a team of six and own projects end-to-end — architecture to production. What I can help with: • ETL/ELT pipelines (AWS Glue, Airflow, Spark, Python) • Snowflake setup, performance tuning & cost reduction • Real-time streaming with Kafka • Cloud migrations (on-prem → AWS) • Data governance, CI/CD & automation I start with your business problem, not the tech stack — and I respond fast. Let’s talk.

I build end-to-end data platforms — from raw source ingestion through dbt transformation to production dashboards — on Snowflake, BigQuery, Databricks, Sigma Computing, and Looker. One consultant who owns the full stack: ETL pipelines, cloud data warehouse, data modeling, and the BI reporting layer your team actually trusts. Founder of Warehows Analytics. Official partner with Snowflake, dbt, Databricks, and Sigma Computing. 32+ projects delivered across SaaS, e-commerce, fintech, healthtech, cybersecurity, and private equity. Top Rated Plus with 100% client satisfaction. $2.3M+ saved in client infrastructure costs. Stack: Snowflake, BigQuery, Databricks, dbt, Airflow, Fivetran, Airbyte, Hevo, Sigma Computing, Looker, Power BI, Superset, Streamlit, Python, SQL, FastAPI What I have delivered: - Fortune 500 — Oracle to Snowflake migration. 10M+ records/day CDC pipelines. Query times down 85%, costs down 60%. - $50M e-commerce brand — unified Google Ads, Facebook, email, and organic data. Single attribution model. ROAS from 3:1 to 7:1. - Finance SaaS (finsightsai.tech) — multi-tenant embedded analytics on Snowflake + Sigma serving 80+ customers. Sub-second queries. Built end to end: ingestion, dbt models, UI, LLM-powered insights. - Multi-brand e-commerce (4 brands) — Shopify, WooCommerce, QuickBooks, and ad platforms consolidated into Databricks + Looker. +65% marketing ROI. 80% less reporting time. - Cybersecurity startup — BigQuery warehouse consolidating Salesforce, RB2B, and product data. dbt-modeled attribution resolved three conflicting definitions of "converted lead." - Creative & PR agency — 50K+ customer reviews processed. AI sentiment analysis. Sigma dashboards. Client onboarding from 6 weeks to 1 week. - Veterinary clinic group — manual Excel to live cross-clinic dashboards. Airbyte + Airflow + dbt + Snowflake + Sigma. 10x faster onboarding. - Energy PE firm — Snowflake Cortex Analyst. Natural-language queries over sensitive portfolio data. - eMarketer — Snowflake reporting replacing 3-week manual Excel process. Runs daily, untouched. Services: - Cloud data warehouse design (Snowflake, BigQuery, Databricks) - ETL/ELT pipelines (Fivetran, Airbyte, Hevo, custom Python) - dbt transformation with testing, documentation, and semantic layer - BI dashboard development (Sigma, Looker, Power BI, Superset, Streamlit) - Embedded analytics for SaaS products (multi-tenant, row-level security) - Marketing attribution and revenue reporting - Data migration from legacy systems (Oracle, Talend, on-prem) - AI/LLM integration (RAG, conversational analytics, Cortex Analyst) Why this matters: data projects fail when nobody owns both ends. The pipeline engineer builds what was specified. The analyst reports what was delivered. Nobody checks whether either matches what the business needed. I hold the full picture — from raw source to executive dashboard — so the numbers your team sees are the numbers your finance team agreed to. Every model has tests. Every pipeline has monitoring. Every dashboard traces to a definition settled before the first chart was built. Send me a message. I respond the same day. Top Rated Plus · 32+ Projects · Snowflake Partner · dbt Partner · Databricks Partner · Sigma Computing Partner

🔹 I build data platforms that handle petabytes of data, millions of events, and ensure zero-tolerance downtime. I’m a senior data engineer and cloud architect with over a decade of experience building production-grade, petabyte-scale data platforms for high-growth, data-intensive businesses. I specialize in real-time analytics, low-latency systems, and cloud cost optimization — the kind of work that breaks if done wrong and gets noticed by leadership when done right. 🚀 Proven Business Impact - +18% revenue uplift by detecting and blocking high-risk fraud users in a real-time data platform - Less than 30ms read/write latency for high-DAU applications handling millions of events per day - Production-grade pipelines supporting analytics & ML with strict data quality guarantees What I’m Typically Brought In For - Stabilizing broken or unreliable data pipelines - Designing real-time or near-real-time architectures - Reducing Snowflake/cloud warehouse costs Core Stack: - Cloud & Warehousing: AWS, GCP, Snowflake, Databricks - Data Engineering: Spark, Kafka, Airflow, dbt, Terraform - Real-Time Systems: Kafka, Flink, DynamoDB - Architectures: Data Lakes, Warehouses, Lakehouses How I Work I ship systems that survive production, scale, and audits. That means clear scope, measurable outcomes, and no “hope it works” engineering. 📌 If your data platform is a bottleneck or a liability, let’s fix it properly. Message me to discuss your system and constraints.