The pipeline fed the reporting the business ran on. Volumes had grown into the billions of records; the design hadn’t grown with them — stages ran sequentially that had no dependency, data was processed in shapes that forced expensive shuffles, and a single stage’s failure restarted hours of work. The team’s ask was simple: make it fit the night again, with room to grow.
The pipeline now finishes before the team’s evening ends, failures surface while someone can still fix them the same night, and the business starts every day on current data. The profiling discipline stayed behind: per-stage timing is now a permanent dashboard, so the next slow-down gets caught at twenty minutes, not six hours.
Per-stage instrumentation first: where the six hours actually went, in data, before a single design decision.
Independent stages restructured to run concurrently, with the dependency graph made explicit and enforced by the orchestrator.
Partitioning and clustering matched to how stages actually read — cutting the shuffle and scan volume that dominated runtime.
Stage-level checkpoints so failures resume instead of restart; alerts at night, to the team, with the failing stage named.
Thirty minutes. Bring the problem as it actually is — the stalled pilot, the bill, the spreadsheet everyone quietly maintains. We’ll tell you honestly whether we’re the right builder for it.
You leave with a straight answer on fit — and if it fits, a free Blueprint to follow.