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Data & Analytics Expertise

AI is only as good as the data foundation beneath it. Most organisations are deploying AI on infrastructure never built to support it: fragmented sources, ungoverned data, no single version of the truth. I architect end-to-end data platforms across the Microsoft ecosystem, from cloud architecture and warehousing to real-time pipelines and modelled analytics, so when you scale AI your data is ready to back it.

Microsoft Fabric & Lakehouse

Unified analytics platform combining data engineering, science, and business intelligence.

I implement end-to-end Fabric solutions leveraging OneLake, Data Factory, and the lakehouse architecture. My expertise includes medallion architectures, Delta Lake optimisation, and seamless integration with existing Microsoft investments.

Power BI & Semantic Models

Enterprise-grade business intelligence that transforms data into actionable insights.

I build governed Power BI environments designed to scale: semantic models, paginated reports, row-level security, and deployment pipelines that enable self-service analytics without losing control. App Accelerators take it further, embedding insight directly into the workflows and apps where decisions actually happen. The outcome is data that doesn't just inform the business, it runs through it: faster calls in the moment, fewer handoffs, and a measurable impact on how the organisation operates day to day.

REST API (Fabric/Power BI)

Programmatic control and automation of your entire analytics platform.

I build custom integrations using Microsoft Fabric and Power BI REST APIs. From automated dataset refreshes and workspace provisioning to embedding analytics in your applications, I unlock the full programmatic potential of your data platform.

Python ETL Accelerator

The point isn't to do the same work faster. It's to engineer most of it out altogether.

My proprietary Python accelerators turn ETL work that once required teams of offshore developers into pipelines built, tested, and deployed in days. Templated frameworks, automated testing, and native integration with Fabric and Databricks bring process ownership back in-house. The outcome: faster delivery, lower operational cost, and engineering capacity freed from repetitive integration to work that moves the business.

Data Governance & Security

Protecting your data assets while enabling compliant self-service access.

I implement Microsoft Purview for data cataloguing, lineage tracking, and sensitivity labelling. My governance frameworks balance security requirements with business agility, ensuring GDPR compliance and robust access controls.

DevOps & CI/CD Pipelines

Modern engineering practices for reliable, repeatable data deployments.

I implement Azure DevOps and GitHub Actions for automated testing, deployment, and monitoring of data solutions. My pipelines include database schema migrations, Power BI deployment automation, and infrastructure-as-code with Bicep/Terraform.

AI & Machine Learning

Intelligent solutions that augment human decision-making with predictive insights.

I integrate Azure OpenAI, Cognitive Services, and custom ML models into your data platform. From demand forecasting to natural language interfaces for your data, I help you harness AI responsibly and effectively.

  • Microsoft Fabric & Lakehouse
  • Power BI & Semantic Models
  • REST API (Fabric/Power BI)
  • Python ETL Accelerator
  • Data Governance & Security
  • DevOps & CI/CD Pipelines
  • AI & Machine Learning Integration

Experience

Engaged with the best.

Privileged to have worked with

Palantir
Ministry of Defense
ABN AMRO
Deutsche Bank
HS2
Arup
IQEQ
Capgemini
Diageo
EMAAR
Deloitte
PwC
Palantir
Ministry of Defense
ABN AMRO
Deutsche Bank
HS2
Arup
IQEQ
Capgemini
Diageo
EMAAR
Deloitte
PwC
Palantir
Ministry of Defense
ABN AMRO
Deutsche Bank
HS2
Arup
IQEQ
Capgemini
Diageo
EMAAR
Deloitte
PwC

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