His expertise is in building and maintaining a big data processing platform to enable discovery, analytics, and reporting for Software Engineers, Data Engineers and Data Scientists across Amazon. He works in the trenches every day with Elastic MapReduce, Simple Workflow Service, EC2, Dynamo DB, Elastic Search, Apache Spark, Apache Hive and other core Amazon and external technologies to maintain and innovate on one of the largest data warehousing platforms in the world, regularly crunching petabytes of information to enable data insights across Amazon. He has a Bachelor's degree in Computer Science from the University of Michigan.