I define and deliver data centric solutions that can be proven, not just executed
My Hypothesis: Technology today is doing what the Renaissance did—driving forward knowledge, craft, and connection—only now with smarter tools and a different syntax.
The underlying goals haven’t changed. The tools have evolved, the domains have expanded—but the purpose?
Same as it ever was (you may ask yourself!): Understand, improve, build. That’s why I believe tech skills are transferable.
Once you can break down a problem, shape the data into something useful, and connect human need to technical capability—you’re 80% there. That’s your Pareto edge! The tech stack? It’s just the accent, not the language.
🧭 This site isn’t just a list of past roles or achievements—it’s a reflection of how I think, solve problems, and collaborate to drive progress. Whether you’re exploring partnership, seeking delivery expertise, or simply curious how a T-shaped thinker with a Renaissance mindset can help shape your data, projects, or platforms—this is the starting point for that conversation.
Assess My Fit
Field experience across data migration, data integration, and project delivery in complex, regulated environments. Grounded in doing the work properly, keeping it joined up, and being able to stand behind the result.
Field Experience
Data Migration
Led end-to-end CRM data migration in large, regulated service environments, taking work from strategy through to cutover with clean loads, reconciliation, and traceability.
- Defined migration scope, history, cutover boundaries, and load sequencing
- Used ETL and SQL staging to control identifiers, relationships, and repeatability
- Applied GDPR-compliant pseudonymisation without breaking referential integrity
- Designed validation, dry runs, reconciliation, and evidence-based sign-off
- Recovered distressed migration work by resetting structure, flow, and governance
Data Integration
Designed and delivered integration patterns across cloud platforms, ERP, CRM, BSS and OSS landscapes, keeping meaning consistent across systems rather than relying on brittle point-to-point fixes.
- Built integration patterns across Azure, Snowflake, ERP, and operational platforms
- Used conceptual, logical, and physical modelling to keep systems aligned
- Applied canonical structures to reduce rework and hard-wired dependencies
- Improved lineage, resilience, and maintainability across complex estates
- Helped turn fragmented interfaces into joined-up data flows
Project Management
Led multi-disciplinary delivery across migration, architecture, and integration work, keeping scope, governance, risk, and stakeholder alignment joined up rather than drifting into separate conversations.
- Led teams across complex and regulated programmes
- Chaired RAID, assurance, and governance forums in multi-supplier environments
- Defined baselines, delivery structure, and practical decision points
- Rescoped and recovered failing initiatives to restore confidence
- Bridged architecture and execution so plans were workable, not just presentable
Overall Positioning
The consistent outcome across these areas is straightforward: data is moved, integrated, and governed in a way that is repeatable, explainable, and trusted. Not something that works once, looks fine in a status report, and then falls apart the first time someone asks awkward questions.
The Practitioner’s Sherpa
Most data programmes don’t fail on ideas — they fail in the terrain. Messy data, changing scope, tight timelines. The role here is simple: GUIDE the work through it. DEFINE it properly. MOVE it carefully. PROVE it works.
That’s "SHERPA'ing"
Field experience across data migration, data integration, and project delivery in complex, regulated environments. Grounded in doing the work properly, keeping it joined up, and being able to stand behind the result.
Field Experience
Data Migration
Led end-to-end CRM data migration in large, regulated service environments, taking work from strategy through to cutover with clean loads, reconciliation, and traceability.
- Defined migration scope, history, cutover boundaries, and load sequencing
- Used ETL and SQL staging to control identifiers, relationships, and repeatability
- Applied GDPR-compliant pseudonymisation without breaking referential integrity
- Designed validation, dry runs, reconciliation, and evidence-based sign-off
- Recovered distressed migration work by resetting structure, flow, and governance
Data Integration
Designed and delivered integration patterns across cloud platforms, ERP, CRM, BSS and OSS landscapes, keeping meaning consistent across systems rather than relying on brittle point-to-point fixes.
- Built integration patterns across Azure, Snowflake, ERP, and operational platforms
- Used conceptual, logical, and physical modelling to keep systems aligned
- Applied canonical structures to reduce rework and hard-wired dependencies
- Improved lineage, resilience, and maintainability across complex estates
- Helped turn fragmented interfaces into joined-up data flows
Project Management
Led multi-disciplinary delivery across migration, architecture, and integration work, keeping scope, governance, risk, and stakeholder alignment joined up rather than drifting into separate conversations.
- Led teams across complex and regulated programmes
- Chaired RAID, assurance, and governance forums in multi-supplier environments
- Defined baselines, delivery structure, and practical decision points
- Rescoped and recovered failing initiatives to restore confidence
- Bridged architecture and execution so plans were workable, not just presentable
Overall Positioning
The consistent outcome across these areas is straightforward: data is moved, integrated, and governed in a way that is repeatable, explainable, and trusted. Not something that works once, looks fine in a status report, and then falls apart the first time someone asks awkward questions.