At GyanSys Inc., I lead data engineering for Rust-Oleum’s multi-customer POS program, building Azure Databricks pipelines that standardize varied customer feeds into an enterprise POS model.
I architected a reusable POS quarantine-recovery engine with adaptive batching, validation gates, and cross-run recovery logic. Its production rollout processed 382 batches and reconciled more than 122 million records with zero data-integrity issues.
For Rust-Oleum, I also addressed a Starbrands UK Silver-layer defect, added deterministic XREF deduplication, and implemented reconciliation audits. The client has recognized and appreciated my contributions twice.
Previously, on GyanSys Inc.’s Unilever work, I developed PySpark and SQL pipelines, API-based data extraction, and FastAPI endpoints. I also optimized SQL queries that cut execution time by 30% and automated ETL testing.
