High-Performance Data & GPU Acceleration
Real-Time Financial & News Feed Streaming Ingestion Pipeline
High-throughput async ingestion engine capturing real-time WebSocket feeds and historical data from Feeder.co into analytical databases.
Timeline: June 2025 – October 2025
Delivery: Production-Ready
✕ The Business & Technical Challenge
The client required zero-data-loss streaming ingestion of high-frequency news and market feeds for downstream analytical query engines.
⚙ The Engineered Architecture & Solution
Engineered an asynchronous Python ingestion pipeline (asyncio/aiohttp) with WebSocket listeners, backpressure controls, and schema normalization storing directly into their database.
✓ Measured Business Outcome & Impact
Engineered sub-second event processing with 99.99% stream continuity, enabling instant market reaction analysis.
Core Technology Stack
Python 3.10+asyncioWebSocketsaiohttpClickHousePostgreSQLSQLiteMongoDB
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