Backend engineer focused on data pipelines and developer tooling. I like building things that automate the boring parts and make other people's workflows a little smoother.

• Python — primary language, used for everything from ETL scripts to CLI tools
• Go — for services where performance or distribution matters
• Shell — glue, automation, and the occasional cursed one-liner
• SQL — probably more than I'd like to admit

Most of my time goes toward data infrastructure and internal tooling — pipelines that move and transform data reliably, and utilities that help other devs spend less time on repetitive tasks.

Currently exploring more of the DevOps/platform side of things: better observability, cleaner deployment workflows, that kind of thing.

• More Go, specifically around building small services and CLI tools
• Picking up more Terraform for infrastructure as code

Feel free to open an issue or reach out if you're working on something in the data/automation space and want to compare notes.