For over a decade I’ve done one thing well: make large-scale data
infrastructure trustworthy. Pipelines that don’t silently break, backfills that
don’t need a human babysitter, metadata that analytics and recommendation systems can
actually rely on.
At Disney Streaming I led the integration of Hotstar’s data into the
Disney ecosystem — unlocking unified content-performance reporting across ~23 countries —
and authored a config-driven backfill framework my teammates now reuse well beyond its
original purpose. Before that, at GLOBALFOUNDRIES, I was a key contributor
to the cloud-native ingestion platform behind the company’s global data lake — thousands of
streaming pipelines carrying petabyte-scale manufacturing data — and built its monitoring
application from scratch, work recognized with the company’s 2020 CEO Award.
These days I’m also giving back upstream: contributing code to
Apache Airflow and open energy-data projects like PUDL and OED.