Rebuilding the Notebook Experience at Databricks

I worked on the next generation of Databricks Notebooks, a core product used daily by data scientists and engineers.

My role focused on transforming an outdated interface into a modern, scalable, and high-performance experience.

Legacy UI that didn’t scale well across teams

Complex workflows (data + code) with UX friction

Performance issues with large datasets

Inconsistent frontend patterns

Rebuilt key parts of the Notebook UI into a modern, streamlined interface

Designed and implemented reusable UI structures used across multiple teams

Refactored legacy code into a scalable frontend architecture

Improved performance of data-heavy components and interactions

Added responsive behavior and accessibility improvements

Introduced robust testing practices for long-term reliability

Contributed to the GA release of the new Databricks Notebooks (2024)

Enabled a more scalable and consistent UI system across the product

Improved usability for complex data workflows

Increased development speed through reusable patterns