Sarmaaya.pk
Real-time data pipelines pulling stock, crypto, forex, and commodity pricing from multiple external sources into a unified feed. Plus a Django committee savings platform with Stripe payment integration.
Sarmaaya.pk powers a real-time, multi-asset financial data feed (stocks, crypto, forex, commodities) serving over 100K unique visitors and 20K monthly active users. I worked as Senior Engineer on this company project: built and owned the ingestion pipelines, scaled them from launch, and shipped the Django committee-savings product alongside the data platform. Live data pulls from multiple external sources, normalized into a single schema, and served from a cached read-path with sub-second latency. The Django savings module uses Stripe Connect for community payouts.
Built for production use, with system design, delivery, and product behavior shaped end to end.
Proof points
- 20Kmonthly users
- Real-time multi-assetdata feeds
- 100K+unique visitors
System design
- Apache Airflow DAGs orchestrate ingestion across stocks, crypto, forex, and commodity feeds
- Source-agnostic ingestion layer normalized to a single MongoDB schema
- Cached read-paths in MongoDB for sub-second query latency at 100K+ unique visitor scale
- Django savings platform with Stripe Connect for community committee payouts
Product surface
- Real-time stocks, crypto, forex, and commodity prices
- Unified normalized data API across asset classes
- Sub-second query latency
- Community committee savings with Stripe Connect