Paul Barnabas
I build BI systems, AI workflows, and training that people can actually use.
I work across analytics, automation, and enablement. Most of my work comes down to three things: making data easier to trust, making repeat work less repetitive, and helping teams learn the tools in front of them.
Current signal
I usually start with the workflow before I touch the tool. If the process is fuzzy, the dashboard or model will be fuzzy too.
Core value
What I spend most of my time doing
I help teams clean up their data foundations, build BI layers that hold up in real use, and introduce AI where it actually reduces friction.
Autonomous decision systems
AI Agentic Workflows
I design AI workflows that know where they should stop. The point is not full autonomy. The point is useful automation with guardrails.
- Decision steps mapped before the model gets involved
- Repeatable workflow logic with clear handoffs
Executive intelligence layers
BI Deployment
I build BI layers that make the numbers easier to trust and easier to use.
- Semantic models built around the business vocabulary
- Dashboards that show what matters without noise
MCT-led enablement
Professional Training
I run training that focuses on what teams need to do next, not just what they need to know.
- Workshops shaped around actual job roles
- Hands-on sessions for Power BI, Fabric, Copilot, and AI workflows
Azure analytics modernization
Enterprise Data Lake Migration
I help teams move data into a modern cloud setup without recreating the same mess in a new place.
- Cleaner source-to-reporting flow
- Layered data design with traceability
Proof layer
A few numbers that matter
The metrics here come from the work itself. Nothing decorative. Just the outcomes that were already in the source material.
Featured case studies
Recent work
A few examples from data migration, AI workflows, analytics, and training.
reducing query times by 400%
Enterprise Data Lake Migration
I moved a fragmented reporting setup into a cleaner Azure Data Lake structure so the team could query data faster and stop rebuilding the same logic in multiple places.
achieving a 78% resolution rate without human intervention
Agentic Workflow Automation
I set up agents to handle repetitive ticket triage, but kept human review in the loop where it mattered.
Featured training
Training I actually deliver
Power BI, Fabric, Copilot, AI-assisted development, and SAP Analytics, taught as working skills rather than abstract theory.
Power BI
3 source-defined courses
- Microsoft Power BI Analytics Solutions
- AI Agentic Power BI Development
Microsoft Fabric
2 source-defined courses
- Build Microsoft Fabric Analytics Solutions
- Copilot in Microsoft Fabric
Copilot / AI Agents
2 source-defined courses
- Advanced Data & AI (Microsoft Copilot Agents & AI workflows)
- Create agents in Microsoft Copilot Studio
AI-assisted development
3 source-defined courses
- Github Copilot
- AI Agentic Code Development & Frameworks
Next step
If it needs structure, clarity, or a better operating model, that is the kind of work I do.
Use the contact page for consulting, AI workflow projects, training requests, partnerships, speaking, or advisory work.