Inside a payment Data Migration: how I built a parser for Visa’s VCF Format
In this video, I take you behind the scenes of a real payment data migration project I worked on for a client — when they decided to switch corporate card providers and move their feeds to Visa’s Commercial File Format (VCF).
On paper, that sounds like a simple procurement change.
But for data engineers, it’s a complex challenge in file parsing, data transformation, and pipeline design.
You’ll learn:
What Visa’s VCF format actually is and how it’s structured
How to build a parser from scratch for VCF files
How file headers, footers, and sections work
How to validate file totals and record counts for consistency
And how the full pipeline was designed for debugging and maintainability
By the end, you’ll see why file format migrations are one of the hardest — yet most invisible — parts of data engineering.
What’s inside the video:
✅ High-level data architecture overview
✅ Sample VCF input and output files
✅ Common pitfalls in parsing and validation
✅ Key lessons from a real-world implementation
If you’ve ever integrated corporate card data or worked on financial file pipelines, this one’s for you.
And in the next video, I’ll walk through the Mastercard CDF format — a completely different beast: XML-based, nested, and far trickier to parse.