Azure Data Platform
Landing zones, Synapse serverless, and Purview governance automated with IaC so every workspace launches compliant by default.
Work
Azure, Fabric, Databricks, Power Platform, and AI Engineering / MCP - assembled in layered engagements that marry architecture with enablement. Our work pairs enterprise guardrails with the velocity product teams expect.
to production for Fabric or Databricks lakehouse pilots
pipeline reliability on Azure-native data estates
observability on AI Engineering / MCP deployments
Landing zones, Synapse serverless, and Purview governance automated with IaC so every workspace launches compliant by default.
OneLake-first architecture, medallion lakehouses, and Direct Lake BI models tuned for sub-second insights across business groups.
Unity Catalog, Delta Live Tables, and MLflow pipelines assembled with deployment guardrails to keep collaborative analytics fast and safe.
Responsible AI reviews, retrieval pipelines, and MCP agents that combine Azure OpenAI with enterprise knowledge sources.
COE-aligned governance, reusable connectors, and lifecycle automation so citizen developers safely extend core systems.
Semantic modeling, DAX review, and UX systems turning Power BI into narrative dashboards the board and the frontline both trust.
Architecture workshops, iterative delivery, and enablement sprints keep product teams shipping while stakeholders learn to operate the stack.
GitHub Actions, Fabric deployment pipelines, and Databricks asset bundles enforce testing, observability, and rollback on every release.
Change management, KPI storytelling, and center-of-excellence toolkits accelerate internal adoption long after handoff.
Unified telemetry across 12 plants into governed Fabric workspaces with Direct Lake models and Data Activator signals for control towers.
Azure ML + MCP agents automate risk stratification while Responsible AI scorecards and human-in-the-loop review keep compliance teams aligned.
Designed multi-model MCP agents on Azure OpenAI to retrieve policy terms, surface underwriting insights, and capture CRM notes while enforcing Responsible AI controls.
Built retrieval-augmented MCP services that mine order data, shipping events, and support tickets to create daily customer satisfaction narratives in 18 languages.
Rebuilt tabular models, GitHub-backed deployment pipelines, and role-based dashboards to surface daily ARR and churn levers.
Implemented Delta Live Tables, MLflow registry, and feature governance so data scientists deploy streaming anomaly detection without downtime.
Lifted legacy Synapse + SQL workloads into Fabric OneLake with automated medallion layering, GitHub-integrated deployment pipelines, and Direct Lake semantic models.
Transitioned multi-workspace Delta estates to Unity Catalog with bundle-based CI/CD, audited lineage, and fine-grained access for platform, analytics, and AI squads.
Ready to move faster with the same stack?