Career
Building dependable data workflows.
I work in data engineering, with an increasing focus on Databricks and the platform capabilities behind reliable pipelines and day-to-day operations.
Data pipelines and cloud platforms
My work has involved building data ingestion and transformation pipelines with Python, SQL, Spark, and Azure services. I have also worked with Terraform and deployment automation to support the infrastructure those pipelines need.
A stronger Databricks focus
More recently, similar data-engineering work has involved a stronger focus on Databricks itself. Alongside pipeline code, I spend more time understanding the platform's capabilities and how they support development, operations, and evolving requirements.
How I approach the work
I like to understand the path from a data source to a usable result, including testing, code review, deployment, and the ongoing maintenance of the platform.
Work beyond the job
My personal experiments are separate from any workplace systems.
Explore my LLM benchmark testing