Data Engineering

Enterprise Crypto Data Lake: Multi-Account Ingestion

End-to-end architecture for ingestion of transactional data to multiple accounts for crypto exchange. I implemented an asynchronous extraction engine with an intelligent Rate Limiter that monitors API headers to prevent bans. The system uses Azure Key Vault for secret management and a high-performance PostgreSQL loader via COPY commands and temporary tables, ensuring idempotency and integrity at scale.

python postgresql
Enterprise Crypto Data Lake: Multi-Account Ingestion - architecture diagram
System architecture

Case Study

Problem

Aggressive API rate limits and credential management across multiples simultaneous accounts.

Solution

Header-based Rate Limiting using official API signals and Bulk Inserts via io.StringIO.

Impact

>99.9% pipeline uptime and ingestion of millions of historical records.