As an Associate SQL Developer at DataAware Ltd., part of my responsibilities involves ensuring the optimal performance of our database queries. To do this, I frequently employ techniques such as proper indexing, query partitioning, normalization, and leveraging stored procedures.
One memorable project was when our team noticed a significant slowdown in reports generation for a critical client-facing application. Analysing the issue, we found that certain complicated SQL queries were running inefficiently. I redesigned these queries using a combination of proper indexing and query partitioning to avoid expensive table scans and reduce IO costs. Post-optimization, we saw a 70% reduction in report generation time and a significant reduction in application latency which resulted in an overall improved user experience.