Case Studies

A selection of projects that demonstrate how I approach data engineering problems at scale — from ETL modernization and pipeline optimization to AI-powered product development.

• biopanel.io — AI-Powered Health Analytics Platform

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  Full-stack AI platform that extracts biomarkers from blood-test PDFs across any laboratory, language, or layout — with zero hardcoded parsing rules. FastAPI + Celery + React + LLMs in production.

• Hershey's — $750K Pipeline Automation

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  Led the full data engineering modernization at Hershey's Mexico CoE: automated ETL pipelines with Azure and Databricks, saving 2,000+ hours of manual work annually and eliminating $750K in recurring vendor costs.

• EY / Microsoft — Financial Pipeline Optimization

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  Reduced runtime of two critical Microsoft BizApps financial pipelines by 67% — from 12h combined to 4h — by diagnosing hidden failures and redesigning execution logic across Azure Fabric workloads.