All Works
01Case Study / 2024
FinTech Analytics Platform
Real-time data processing engine with low-latency API and dashboard.
Role
Lead Backend Engineer
Year
2024
Stack
Node.jsTypeScriptPostgreSQLRedisReact
Overview
A real-time analytics engine built to ingest, normalize, and serve high-frequency financial market data. The platform processes thousands of events per second and exposes them through a low-latency query layer consumed by trader-facing dashboards.
The architecture favors predictable p99 latency over raw throughput — every hot path is measured, cached, and benchmarked. Write-behind buffering into PostgreSQL keeps the analytical store consistent without blocking the ingest pipeline.
Key Results
- [01]Sub-50ms p99 query latency on live market feeds via Redis-backed materialized views.
- [02]Event ingestion pipeline handling 10k+ msg/sec with backpressure and dead-letter recovery.
- [03]Role-based access control with full audit trails for compliance requirements.
- [04]Dashboard data layer with incremental hydration, keeping first paint under 1s.