Data platforms built to be operated, trusted and evolved.
I design and build cloud data platforms across Azure, Databricks, Microsoft Fabric and Apache Spark, with a strong focus on practical architecture, delivery and maintainability.
Core focus
Cloud data platforms
Azure, Databricks, Fabric and Spark delivery.
Architecture that survives operation
Clear layers, security boundaries and maintainable ownership.
Practical AI and agents
RAG, MCP and agent workflows connected to reliable data foundations.
Selected Work
Projects
Agentic Data Quality on Databricks
A metadata-driven data quality pattern on Databricks Free Edition, using AI-assisted checks while keeping the architecture close to production concepts.
Tiny analytics agent on Databricks
A small Databricks Free Edition agent that uses a foundation model and a Python execution tool for simple analytics questions.
Bronze-Silver-Gold Lakeflow pipeline
A complete Databricks Lakeflow pipeline using public TPC-H data and a medallion architecture.
Column-level PII encryption on Databricks
A Databricks Free Edition exercise focused on column-level handling of personally identifiable information.