At Enterprise Data Platform, I architect and maintain a cloud data platform processing more than 8 million records a day. I developed production ETL workflows and Apache Airflow pipelines that reduced daily runtime from 4.5 hours to 1.7 hours.
At Analytics & Integration Platform, I built data pipelines and PySpark transformations for datasets containing more than 100 million historical records. I also created dimensional models for Power BI and Tableau reporting and automated legacy processes, reducing manual reporting preparation by approximately 15 hours per week.
In my projects, I built systems including PharmaGraph, a graph-augmented RAG application for drug interaction analysis, and VoiceScribe, an event-driven audio processing pipeline. I’ve also worked on real-time maritime intelligence and atmospheric dust monitoring platforms using GCP, Microsoft Fabric, and AWS.