Alex Li

I’m a data engineer who builds dependable pipelines and turns raw events into insights. In my most recent role as a Data Engineer Co-op, I created multiple weekly data visualizations to track user engagement and communicate results clearly.

I work end-to-end on ETL: writing Python-based AWS Lambda scripts with pandas and NumPy, moving data from S3, and loading it into an Amazon Redshift data warehouse. I also wrote Python scripts with SQL to update tables on a weekly cadence for a machine learning team.

Beyond work, I enjoy shipping practical data products. I built a React table that displays streaming providers for a list of movies by cleaning a dataset in Python, fetching provider data from The Movie Database API, and automating hourly updates with a GitHub Action workflow before deploying to Firebase.

I’ve also developed backend APIs in Node.js and TypeScript (with some HTML/PHP), including query-engine functionality and test coverage with Mocha. My coursework in Applied Machine Learning and Elementary Statistics for Applications keeps me focused on building analyses and models that stand up to real data.