What I can do for you

Services

• Data lake architecture — from scratch or takeover

  Design and build data lakes and warehouses on AWS (Glue, Lambda, Step Functions, DMS) or GCP (BigQuery, Dataform, Dataproc, Dataflow) with medallion architecture and infrastructure as code, or audit and optimize an existing platform for cost and performance.

• Backend-to-lake integration

  End-to-end backend modules (FastAPI, Django, REST APIs) that emit application data into the lake, plus connectors for third-party services and enterprise APIs (ServiceNow, SharePoint, Azure Monitor, CleverTap, BI platforms).

• Multi-cloud and cross-cloud pipelines

  Production delivery across AWS, GCP, and Azure, including cross-cloud streaming and replication (for example AWS to BigQuery via Kafka) with security and compliance coordination.

• ETL/ELT pipeline engineering

  Python and SQL pipelines with CI/CD, testing, monitoring, and cost optimization; batch and streaming (Kafka, DMS, Pub/Sub).

• Analytics engineering & BI automation

  Self-service analytics with Power BI, Tableau, Looker, or ThoughtSpot, including BI deployment pipelines and natural-language querying.

• AI integration for data teams

  LLM and MCP integrations that let agents and business users query governed data safely; AI-enhanced documentation and automation.

• Cost & performance optimization

  Query tuning, workload right-sizing, and asset decommissioning with measurable savings (USD 1M+ annual at Rackspace; ~40% compute reduction at TeamStation AI).