At Epsilon, I build Azure Databricks and AWS data pipelines that turn raw enterprise, transactional, and clickstream data into curated datasets for analytics. I've processed over 5M daily records with 99.9% data accuracy, reduced query latency by 35%, and cut incremental job runtimes from 40 minutes to 5 minutes.
I also automate Oracle setup and tune SQL performance, while bringing experience in data governance, backup and recovery, and AI research. My published knee osteoarthritis research used CNN-based X-ray classification and achieved 82% diagnostic accuracy.
