Case Studies

Engineering outcomes, not AI theater.

Anonymized examples organized around the operational challenge, the engineering approach, and the outcome.

Data Engineering / Operational Reliability

Migrating 80+ Production Jobs Off Legacy Compute Without Breaking a Single Pipeline

A fast-growing analytics team had accumulated dozens of production Databricks jobs on a legacy dedicated compute configuration that was becoming a cost and governance liability. No one had a reliable inventory of which jobs depended on legacy-only features, which made a platform-wide migration feel too risky to schedule.

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Intelligent Automation

Automating a Weekly On-Call Rotation That Used to Take Hours to Plan

A data support team's weekly shadow/on-call rotation was planned by hand — balancing who was on PTO, who had already covered high-effort tasks recently, and team-specific approval rules. It was tedious, error-prone, and fell on one person's shoulders every week.

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