Data engineering with handover
Pipelines and checks that keep data moving, built so your team can run and extend them after we leave.
What we build
Ingestion, transformation, quality checks, and schedules that match how the business actually works. Live sources and sensors when the operation needs them, not by default.
Ownership from day one
Engineering without ownership becomes a dependency. We name who owns each pipeline, where failures surface, and how to change a source without breaking reports. Documentation is part of delivery, not an afterthought.
Fits the architecture
Engineering follows a written design: which stores hold what, and which models feed which decisions. That keeps the work vendor-neutral where it matters: tools can change; the flow should stay clear.
Typical starting points
Fragile spreadsheets feeding “official” numbers, overnight jobs nobody trusts, or a stack that works until one person leaves. We stabilise what you need for decisions first, then extend.