Delivery. Data. Done Properly.
Most data programmes don’t fail on ideas. They fail in execution — messy data, shifting scope, tight timelines.
I work in that space — defining, moving, and proving data so programmes land cleanly.
🧱 Data Migration
Strategy through to cutover. Structured, repeatable, reconciled.
- CRM & ERP migrations
- Deterministic ETL patterns
- Full audit & traceability
đź”— Data Integration
Designing how systems actually talk to each other.
- Azure / Snowflake / SQL
- API & batch patterns
- Canonical data models
🎯 Programme Delivery
Making complex programmes move — and land.
- Stabilising failing programmes
- Structured governance (RAID, PBS, WBS)
- Cutover planning & execution
How I Work
Data is the common language across systems. The tech stack is just the accent.
Underpinned by my MBA, helping keep business intent aligned with technical reality—particularly across OLTP and lakehouse environments.
The approach is simple:
Structure the problem properly
Shift data safely and repeatably
Reconcile and validate outcomes
Selected Outcomes
- Delivered Finance, Procurement, Sales, Inventory / Logistics, Manufacturing, HR, Projects, Master Data across large-scale ERP and bespoke migrations
- Worked in regulated environments with full reconciliation across systems
- Designed deterministic ETL frameworks ensuring repeatable runs and controlled cutover
- Recovered distressed migration programmes by restructuring data flows and governance
- Implemented data concealment frameworks preserving relationships across environments
Where This Fits
Typically engaged by:
- Programme Directors needing delivery confidence
- Data leads aligning architecture with execution
- Organisations moving or restructuring core platforms
The pages below are structured a bit like a modern take on a Renaissance workshop — different disciplines, same underlying craft. Each one looks at a specific part of delivery, but they all connect through how data is defined, moved, and used.