Menlo Park, California, United States
Clearing Team
• Improved processing time by 90% and reduced infrastructure costs by 98% of core OLAP
workflows by pioneering adoption of Apache Spark Java
• Generalized data generation for OLAP workflows to efficiently handle 10M+ events and
reduced new onboarding speeds for trade confirms and account statements by 80%
• Led a team of 6 engineers, multiple cross-functional teams, and external vendors to drive
development of a real time tax lot tracking system using Python, Golang, and Spark
• Identified and addressed numerous potential black swan risks within our engineering system with unbounded financial implications