
The foundations behind the data.
Co-developing SQL infrastructure for a longstanding retail data platform.
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Over 25 years building the systems behind retail data. Hands-on SQL Server engineering, SSIS and automation, with responsibility for the delivery, the environment and a small technical team.
Years working with dataFrom the detail to the bigger picture
Server & SSIS, in depthBuilding, investigating and tuning
Small-team technical leadershipStaying close to the work
I'm Steve. I design, build and maintain the processes that turn large retail datasets into dependable delivery: SQL infrastructure, stored procedures, SSIS workflows and the tools around them.
At Circana, I lead a small technical team responsible for Marketplace production. I stay hands-on in the development and investigation, while taking responsibility for the wider operating environment.
A little more about meSQL Server and T-SQL in depth, SSIS built from scratch, and retail data processing at scale.
02The production environment as well as the data: processing, capacity and platform upgrades.
03Leading a small team while continuing to design, build and investigate the systems we run.
04Recognised comparison tooling, internal applications and reusable skills in a company pilot.

Co-developing SQL infrastructure for a longstanding retail data platform.
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Building the viewer and controls that let other teams run routine jobs themselves.
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Live-versus-test comparison tooling recognised with an internal AI Accelerator award.
Explore the projectI use AI-assisted development to build internal applications, reporting and investigation tools around real data problems. My engineering experience shapes the logic, the workflow and the questions the tool needs to answer.
That work includes a retailer restatement comparison tool, recognised with an internal AI Accelerator award, and seven meeting skills developed for an early Claude pilot.
Explore this side of my workExplaining the impact of proposed data changes before publication.
Seven meeting skills created within a company pilot group. Wider rollout is at an early stage.
Python and Flask development is AI-assisted, grounded in hands-on data engineering and operational experience.
Data, technology, or a different way of looking at a problem.