Experience & About
A decade of data systems, BI architecture, and AI enablement.
This practice spans enterprise analytics, data migration, predictive modelling, and MCT-led training. The focus has always been the same: build systems that hold up after launch and leave teams in a stronger position than before the engagement started.
Architectural Intelligence
The principle behind the work is Architectural Intelligence: the best data systems are not just technically correct, they are designed to be understood, maintained, and extended by the teams that depend on them.
Professional signal
BI Architecture
Semantic models, executive dashboards, and analytics layers built for long-term maintainability. The architecture is designed around the business vocabulary, not the tool's default structure.
Data Analytics
Analytical models and reporting workflows that surface decision-ready output. This includes predictive modelling, fraud detection patterns, and logistics data structures with clean traceability.
MCT Leadership
Microsoft Certified Trainer delivery across Power BI, Fabric, Copilot, AI workflows, and SAP Analytics. Available for corporate workshops, remote sessions, and structured upskilling programmes for enterprise teams worldwide.
Available remotely for clients and training programmes globally.
Professional history
Professional background
The recurring themes across engagements: cloud migration, semantic modelling, predictive analytics, workflow automation, and logistics data integration. The context changes by client. The discipline stays consistent.
Lead BI Architect
Cloud-scale semantic modeling and enterprise BI architecture.
- Scope: Enterprise logistics and financial services clients across Azure-native stacks
- Migrating legacy on-premise warehouses to Azure cloud architectures
- Power BI semantic models serving 500+ global users
Senior Data Analyst
Predictive analytics, fraud detection, and decision-ready reporting.
- Scope: Fraud detection systems, operational reporting, and automated workflow design
- Predictive analytical models improving fraud detection rates by 22%
- Automated reporting workflows reducing manual data processing hours by 40% weekly
Data Engineer
Data movement, pipeline reliability, and cross-system integration.
- Scope: Cross-system ETL pipelines for logistics and supply chain data environments
- ETL pipelines connecting disparate logistics systems
Credibility summary
This is the mix of architecture, analytics, and enablement behind the work.
If you want to see how that shows up in practice, the portfolio is the next stop.