Data & Platform Operations
Systems that work in controlled conditions start to fail under real use. This is where things start breaking as teams scale and the system can no longer keep up. Pipelines fail at scale, SLAs slip without warning, and platform teams get stretched past the point where they can keep up.
I step in when the system needs to hold and it doesn't, stabilizing pipelines, tightening operational discipline, and rebuilding what fails under real conditions.