How a Data Crisis Became an Architecture Journey
A consulting case where data divergence caused trust issues. The solution: a complete Data Lake redesign.
The Problem
Data divergence across systems was causing trust issues and conflicting reports. Stakeholders couldn't agree on basic metrics.
The Approach
- Audited existing data flows and identified divergence points
- Designed a new Data Lake architecture using the Medallion pattern
- Implemented with multicloud strategy (AWS + other providers)
The Result
A unified, trusted data platform that restored confidence in analytics.
This article was originally published on LinkedIn.