Banking ACH & Wire reconciliation,
automated with production Python.

For bank ops, payment engineers, FinTech devs and Python automation teams.

A hub of engineering-grade material for teams that own real payment pipelines. Every page is written from the perspective of an on-call engineer wiring up NACHA ingestion, normalizing ISO 20022 messages, or chasing a reconciliation break before settlement cutoff — not a tutorial walkthrough.

The site bundles parsing, matching, exception handling, fraud-pattern detection, and Reg E/Fed-aligned audit practices. Code is shippable Python (pandas, pydantic, asyncio, polars), and procedures map directly to NACHA Operating Rules, ISO 20022 messages, and Reg E timelines.

What's inside

The hub is organised around three engineering disciplines that every reconciliation team has to master. Each section maps to a directory of deep-dives with runnable code and the regulatory context that surrounds it.

  • Architecture: secure ingestion boundaries, NACHA record layouts, ISO 20022 vs legacy.
  • Ingestion: streaming fixed-width decoders, pandas/Polars throughput, pydantic validation, async batch.
  • Matching: deterministic vs fuzzy logic, sliding windows, tolerances, multi-field fallback chains.

Why this exists

Most public material on payment automation is either a marketing piece or a 10-line snippet. Real pipelines fail at the seams — encoding drift on bank exports, batch headers that don't reconcile, fuzzy matches that auto-resolve a duplicate, Reg E timers tripping on stalled exceptions. The content here is written to be a reference you keep open while you fix those problems.