Delivery. Data. Done Properly.
Most data programmes don’t fail on ideas — they fail in execution: messy data, shifting scope, tight timelines.
Compromise should be reasoned and intentional — otherwise it becomes drift, with downstream consequences.
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
🔗 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 an MBA, which helps keep both sides honest — business intent and technical reality — particularly across OLTP systems and lakehouse environments.
The approach is simple:
Structure the problem properly
Shift data safely and repeatably
Reconcile and validate outcomes
Selected Outcomes
- Delivered Customer, Staff, Billing, and Asset Management 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