High-Volume Transaction Ingestion & Reconciliation Pipeline
Engineered an automated data pipeline processing over 15 million daily financial transactions with real-time settlement verification.
The Engineering Challenge
The client suffered from fragmented transactional logs across 6 regional banking partners, causing 48-hour delays in daily financial reconciliation and audit vulnerabilities.
Our Architectural Solution
Architected a distributed ETL pipeline using Python, Kafka, and PostgreSQL with automated schema normalization, deduplication, and discrepancy alerting.
Project Metadata
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