Sunnyvale, California, United States
• Designed and obtained product alignment on the multiple permission resolution algorithm for Dynamic Data Masking, providing customers a highly configurable method of controlling access to column data
• Owned the query-time masking expression authorization procedure that involved performant service calls between the BigQuery SQL parser (Dremel), authorization service, and an internal Data Policy Service API in C++ and Java, enabling the launch of Dynamic Data Masking to thousands of BigQuery customers
• Delivered the design and C++ implementation of the DATE_YEAR_MASK predefined masking expression in Dremel in under 3 weeks as a post-launch fast-follow in order to meet growing customer requests for more masking types
• Implemented the Google Cloud Platform virtual private cloud security horizontal for the Data Policy Service and automated its validation
• Developed the Python end-to-end test setup and dozens of tests for BigQuery Dynamic Data Masking