At Teradata, I improve SQL query plans and database performance for aggregation and JOIN-heavy workloads. I work independently from optimization opportunity identification through implementation, testing, and performance validation.
I've enhanced optimizer strategies that delivered over 55% improvement in execution time and CPU utilization for targeted workloads. I also improved Partial SUM pre-aggregation for JOIN operations, achieving approximately 30% improvement in execution time, CPU utilization, and spool usage.
Within the Teradata Optimizer Team, I contributed to aggregate, aggregate cache, and Common View Elimination improvements. My work reduced redundant view materialization and spool consumption, with targeted query performance improvements of approximately 10% and execution-time and CPU improvements of up to 15–40%.
I investigate optimizer defects and critical customer issues through debugging, code-path analysis, and root cause analysis, including Remote Table Operators and QueryGrid. I build on C++, multithreading, SQL, Teradata, Linux, and performance-analysis tools.
