Platform engineering
Azure Data Platform
Resilient landing zones, ingestion patterns and DevOps pipelines, engineered with the governance that powers downstream analytics.
Turn data into confident decisions.
MDE helps Microsoft-based organisations decide where AI and data will genuinely add value, with human accountability and a clear, sustainable next step.
You work directly with the practitioner delivering the work. No sales layer, no hand-off.
What MDE does
Pipelines & ELT
Data Transformation & Integration
Reusable pipelines in Data Factory, Databricks or your toolset of choice, with quality checks and observability gates that keep data flowing.
Fabric acceleration
Power BI & Microsoft Fabric
Governed, performant analytics inside the Microsoft 365 or Azure environment you already run, with the enablement to make adoption stick.
Insight & forecasting
Analytics & Decision Intelligence
Trusted reporting, forecasting and advanced analytics that surface what matters, so decision-makers can act on numbers they believe.
Governance & assurance
Data Governance & Controls
Operating models, policy, lineage and monitoring that make trusted data the default, built for adoption, so controls support delivery rather than block it.
Applied & governed AI
Practical AI Enablement
Agent workflows, evaluation and adoption controls that put AI to work on real tasks: governable, supportable and measured against business outcomes.
How MDE engages
Model 01
Advisor
Independent architecture, governance and roadmap guidance to shape decisions before delivery begins.
Model 02
Implementation partner
Design and delivery of Azure-native platforms, pipelines and analytics, architected and led by Rory. Where implementation requires a partner, their work is scoped to defined delivery tasks, with their role and outcomes agreed transparently. Rory remains accountable for the engagement.
Model 03
Task-defined associates
Rory remains the accountable principal. When a defined task needs additional delivery capability, MDE may engage an associate with the relevant expertise for that task, with their role and scope agreed transparently.
The approach
01
Discover context
Clarify goals, current landscape and stakeholders so the right problem is being solved from day one.
02
Design the path
Co-create the architecture, delivery plan and success measures that build durable data capability.
03
Deliver & evolve
Ship value iteratively, embed change and transfer knowledge so your team can sustain the outcome without MDE.
Why partners work with MDE
- Enterprise-architecture led
- The operating model is designed around the solution, not just the technology.
- Evidence-first
- Claims are tied to outcomes and validated against acceptance criteria, not declared from configuration.
- Microsoft-first
- Deep fluency across Azure, Fabric, Power BI and the wider Microsoft estate your clients already run.
- Governance-aware
- Compliance, lineage and supportability are designed in from the start, suited to regulated environments.
- Capability transfer
- Your team is left stronger, with capability your people retain long after MDE steps back.
Where Rory has delivered
Rory's delivery background spans public-sector and commercial environments:
Public-sector programs
Cloud-scale architecture, governance and analytics.
Retail, environmental sciences and construction
Security, consent and auditability at the core.
Professional services and SMEs
Pragmatic delivery and capability uplift.
Data as an enabler, not a burden. MDE helps you understand your data assets and align them to business needs, whatever platforms you run.
Bring your delivery challenge or roadmap ambition.
There is no obligation and no sales layer. The first conversation is with the practitioner who would do the work.