I’m passionate about data and the software tools that make it powerful. I enjoy building, tinkering, and collaborating on projects that push the boundaries of data engineering, reliability, and automation.

• 🔭 Current focus: Data quality frameworks, transformation workflows, and high-performance DataFrames.
• 📚 Always learning: I grow my skills through books, experiments, and open-source contributions.

Open-source involvement:

• DQX – Contributing to improving data quality tooling in Databricks.
• Exploring projects like Daft, Airbyte, and SQLMesh.

💡 I occasionally explore ML and AI, especially where they intersect with large-scale data systems.