Nearly 20 years running Retail Replenishment Operations, now building the Azure Fabric pipelines that give retail and distribution teams the same visibility over their data that I once had to build by hand on the floor.
Onyx Data Engineering is founded and run by Irina Cazacu.
I spent nearly two decades leading retail and replenishment operations — responsible for the flow of stock across stores and distribution centres, and for the reporting that told (or failed to tell) leadership what was actually happening on the ground. I know first-hand what it costs a business when data is scattered across disconnected systems, and what it's worth when it isn't.
That experience, combined with a background in Chemical Engineering, gave me a natural fit for Data Engineering: both disciplines are about designing reliable systems and controlling what flows through them. I'm now formalizing that into Microsoft Azure and Fabric expertise, and applying it specifically to the retail and distribution sector I know from the inside.
My focus is building lakehouse foundations, pipelines, and reporting layers that give operational teams the visibility I once had to piece together manually — done properly, on modern cloud infrastructure, the first time.
Every stage of this path taught the same lesson from a different angle: a business runs on the quality of the information underneath it.
Retail and distribution teams tend to need help at one of three depths. I've named them after the layers I actually build.
Prices are starting points — every engagement gets scoped to the size of your data and systems before a final quote. Ongoing support is also available as a monthly retainer from £600/month. Get in touch for a free 20-minute scoping call.
Four projects built to show the full lakehouse lifecycle, from raw ingestion to a gold layer ready for reporting. Code and architecture notes are public on GitHub.