• Currently staff engineer on Big Data Platform that manages Airflow, Hadoop, Spark and Iceberg at Stripe

• Tech Lead responsible for defining the vision and roadmap on Trino, Airflow, Spark, Hadoop, Flink teams over the years (owned and operated all of these systems as well)

• Key Contributor to Shepherd - next generation Feature Engineering Platform at Stripe. (https://stripe.com/blog/shepherd-how-stripe-adapted-chronon-to-scale-ml-feature-development)

• Delivered multi-million dollar savings for Stripe's AWS spend through optimizations in Spark, Hadoop and Trino

• Reliability improvements to reduce failure rate from greater than 15% day to less than 1% per day for analytical queries within Stripe

• Tech Lead for reducing offline data exposure within Stripe

Software engineer on the Data Platform org.

• Core contributor that grew to Tech Lead Cosco (Meta’s Shuffle Service Implementation similar to Apache Celeborn) that helped reduce the IO utilization for Facebook’s storage layer by 15%

• Rewrote Hadoop YARN’s 1.0 Job Tracker to fix several reliability and performance issues and added dynamic task allocation with work stealing to reduce cluster cpu utilization by 12% (multiple millions in savings)

Ringo - International calling app for smartphones