Abhijeet Patil

At eClerx, I'm building an AI-powered data platform that translates natural-language questions into optimized SQL for massive advertising fact tables.

I've engineered a low-latency FastAPI and AWS Lambda backend using Athena and DuckDB, with DynamoDB state management and S3-backed metadata translation. I also implemented compute guardrails that protect data access and prevent costly full-table scans.

Previously, I architected and scaled eight mission-critical data systems supporting 15+ dashboards and a $47M annual business segment at 99.5% uptime. By redesigning workflows across AWS Glue, Lambda, S3, and Snowflake, I reduced processing time from 16 hours to 8 minutes and improved resource efficiency by 99%.

I've also integrated LLMs into ETL workflows for unstructured-data enrichment, entity resolution, and metadata mapping, while building anomaly detection and data-quality frameworks. Before pivoting into technology, I managed large-scale construction operations as a Civil Site Engineer, bringing project-management discipline to data engineering.