I help SaaS and Fintech companies running large PostgreSQL databases reduce cloud costs and dramatically improve performance.
- Reclaimed 8.5TB of bloat from an 18TB PostgreSQL cluster → $680/month AWS savings
- Reduced database operations by 57% (1,760 → 760 ops per request)
- Compressed backups from 18TB to 7.5TB using
pgBackRest - Achieved 5+ months of 100% uptime on a high-throughput fintech platform
- Delivered 2000x query speedup (2.1s → 1ms) using targeted indexing strategies
| Repository | Outcome | Key Technologies |
|---|---|---|
| waqasdb-postgresql-toolkit | Production toolkit to detect and reclaim bloat + analyze performance | PostgreSQL 14–17, Advanced SQL |
| postgresql-10m-performance-demo | 2000x query improvement (2.1s → 1ms) on 10 million records | BRIN Indexes, Query Rewriting, EXPLAIN ANALYZE |
| bulletproof-fintech-ledger | Prevents financial race conditions using pessimistic locking | NestJS, PostgreSQL, TypeORM |
- PostgreSQL Performance Tuning at scale (10TB–50TB+)
- Bloat detection & zero-downtime space reclamation
- Query optimization & index strategy
- Cost optimization on AWS RDS & Aurora
- High-throughput fintech systems (preventing double-spending, ensuring data integrity)
- Backup optimization with
pgBackRest
Tools I use daily: pg_stat_statements, EXPLAIN (ANALYZE, BUFFERS), auto_explain, pgBadger, pg_repack, check_postgres, pgBackRest
I don’t just tune queries — I systematically identify bottlenecks, prove impact with before/after metrics, and document everything for long-term maintainability.
Typical engagement flow:
- Deep performance & cost audit
- Prioritized optimization roadmap
- Implementation + knowledge transfer
- Optional monthly retainer for continuous optimization
- Website: waqasdb.com
- Consulting Inquiries: consulting@waqasdb.com
- Upwork Profile: Available on Upwork
- LinkedIn: Connect with me
Interested in reducing your PostgreSQL cloud spend or improving performance?
Feel free to open an issue on any repository or send me an email.
“Turning expensive, unstable databases into fast, cost-efficient systems.”