I’m a data engineer who builds reliable, governed pipelines and scalable data platforms on AWS—often optimizing ingestion latency and operational cost while maintaining quality across streaming and batch sources.
I’m a data engineer who builds reliable, governed pipelines and scalable data platforms on AWS—often optimizing ingestion latency and operational cost while maintaining quality across streaming and batch sources. I’ve worked across the full lifecycle: designing canonical data models, developing ETL/ELT workflows, and tuning databases (indexing, partitioning, and query performance) to support high-volume analytics.
I also enjoy turning engineering principles into enforcement—using contract-driven approaches to control access, mask PII by default, and apply row-level filtering consistently. From Dockerized ingestion with AWS Batch Spot to multi-terabyte data warehouses and real-time reporting systems, I focus on measurable impact like uptime, revenue growth, and faster time-to-data.
built-in chat agent and the MCP server share one governed surface. Chat in the UI, or wire your workspace into Claude Code, Claude Desktop, Cursor, Cline, or Gemini CLI. Listed in the official MCP Registry.
Maintained high-volume pipelines at 99.8% uptime across hundreds of sources. Built a multi-terabyte data marketing warehouse for retail clients generating $3M in annual revenue.
Developed and optimized OLAP/OLTP databases using MongoDB and Elasticsearch on AWS. Ingested streaming and batch data while ensuring data quality and governance throughout.
Developed scalable multi-terabyte data warehouses. Directed database and query optimization efforts including indexing and partitioning. Led end-to-end migration projects with minimal downtime.
Post a job and invite Rishi, or contact them directly. No hidden commission.
