A major insurance company faced a data crisis after a significant merger. They had to consolidate three legacy data warehouses into a single, reliable pipeline, each with its own set of quirks and bugs. It made data movement across multiple layers inconsistent and the final reports unreliable. The tech team working on this task had no scalable testing process in place, and every update felt like a risk.

Developers were stuck writing SQL scripts for testing manually. The business teams were left wondering whether their reports were accurate. As progress slowed, confidence dropped. The company made a bold decision: to move…