Data Ingestion & Orchestration

Overview

A leading fintech client needed a robust way to manage and process high volumes of market and financial data. Their legacy ingestion scripts were slow, fragile, and inconsistent making it difficult to trust analytics results or scale with new data sources.

Our Solution

Analytic Strategies designed a resilient, event-driven ingestion platform that intelligently orchestrates API calls, normalizes data, and maintains full traceability from source to storage.

Using Cloudflare Workers, Supabase, and R2, we built a modular, fault-tolerant pipeline capable of handling millions of data events per month with automatic retries, queue-based recovery, and structured observability.

Impact

The resulting platform now serves as the backbone for multiple data products, including financial analytics, dividend reinvestment modeling, and research pipelines.

  • 99.9% ingestion reliability across multiple APIs

  • 30× faster processing throughput

  • Zero data loss through intelligent queuing and replay

  • End-to-end visibility with per-job metrics and logs

“The new ingestion architecture transformed a brittle data pipeline into a self-healing, scalable system, empowering us to build advanced analytics features confidently on a reliable data foundation.”

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