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PAM CML Migration & JSON Message Generation Platform

Production message generation platform supporting 1,500+ active commercial mortgage loans, driving Genworth’s vendor-to-in-house CML accounting migration with automated reconciliation and daily production execution.

Role: Lead Engineer & IT Owner Tags: finance · enterprise · data-platforms · pipelines Featured

Highlights

  • Designed and built a rules-driven JSON message generation engine supporting multiple transaction types: payments, fees, payoffs, and adjustments
  • Implemented DEV / UAT / PROD environment separation with versioned production releases (V1–V7)
  • Replaced vendor-managed processing with an internally owned, automated accounting pipeline
  • Built automated source-to-destination reconciliation running with every pipeline execution

Impact

  • Supports 1,500+ active commercial mortgage loans across the full transaction lifecycle: payments, fees, payoffs, and adjustments
  • Drives Genworth’s vendor-to-in-house CML accounting migration, eliminating external dependency and long-term vendor cost
  • Automated source-to-destination reconciliation runs with every pipeline execution, guaranteeing data completeness and auditability
  • Production-critical system running daily across DEV / UAT / PROD with controlled versioned releases (V1–V7)

Context

CML accounting was previously handled by an external vendor, creating cost, operational risk, and limited system visibility. Genworth’s internal PAM platform could support CML, but required a reliable, production-grade ingestion and message translation layer.

What I Built

A production JSON message generation and ingestion platform that:

  • Extracts transaction data from enterprise data sources
  • Applies business rules and special-case logic
  • Generates PAM-compatible JSON messages across many transaction types
  • Supports time-based and batch-based production runs
  • Operates across DEV / UAT / PROD with strict versioning (V1–V7)

This system now runs daily in production and is business-critical.

Reliability & Operations

Because this is financial data:

  • Validation and reconciliation are built into the pipeline
  • Failures surface early and are operationally visible
  • Release versions are controlled and auditable
  • The system is actively supported in production by me

Outcomes

  • Successfully migrated CML accounting off a third-party vendor
  • Reduced long-term costs and operational risk
  • Established a stable, internally owned accounting pipeline
  • Improved auditability and system transparency

Why This Matters

This project demonstrates my ability to design, ship, and own production-critical financial infrastructure, not just prototypes or one-off scripts.