Big-Data Pipelines
& Alternative Data Engineering
Alpha generation depends entirely on pristine data. Our highly parallelized big-data ingestion pipelines utilize Apache Spark and Kafka to process petabytes of unstructured text, SEC filings, real-time tick feeds, and satellite imagery daily. Our robust entity resolution engines and point-in-time (PIT) databases prevent critical leakage, ensuring the historical features fed to our ML models perfectly mirror reality at the exact nanosecond of simulation.
Key Competencies:
- Streaming Kafka pipelines for sub-millisecond market data and alternative data ingestion.
- Strict Point-in-Time (PIT) architecture to permanently eliminate look-ahead leakage.
- Automated concept drift detection and continuous data-quality monitoring.