All work
Architect · Data & Database
Database Indexing & Query Optimization
Lifted system performance by up to 40% through schema design, targeted composite indexing and query tuning on high-volume tables.
Context: enterprise systems slowing down as data grew. Decision: profile the slow paths, add composite indexes matched to real access patterns, selectively denormalize read-heavy data, and push heavy aggregation to background jobs. Trade-off: more write cost and storage for dramatically faster reads where it mattered.
MySQLPostgreSQLQuery profilingRedis cache
What it does
- Composite indexes designed around actual query patterns, not guesses.
- Selective denormalization & cached aggregates for read-heavy dashboards.
- Heavy reports moved to queues so the UI stays fast.
Next step
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