I'm a data engineer who loves making messy data problems less messy. Most days you'll find me building data pipelines, creating dashboards that actually make sense, or figuring out how to make our systems run faster without catching fire.
I genuinely enjoy the challenge of turning complicated data into something useful—whether that's helping a teammate quickly find the information they need, or building tools that make everyone's job a bit easier. While I can geek out about data architecture all day, what really gets me excited is seeing people's faces light up when they can finally understand their data without wanting to pull their hair out.
When I'm not wrangling data, I'm probably tinkering with new tools or reading about how other teams solve similar problems. There's always something new to learn in this field, and that's exactly how I like it.
Technical Skills
Programming Languages
Frameworks & Tools
Data Engineering and DevOps
Data Visualization
Areas of Focus
Data Engineering
Building pipelines that turn data chaos into clarity, and making sure our systems play nice together when things get big
Data Visualization
Taking complex data and turning it into visuals that make people say 'Oh, now I get it!' instead of 'Um, what am I looking at?'
Dashboard Development
Creating dashboards that people actually want to use—where finding insights feels like solving a puzzle, not fighting with filters
Research Background
Massively integrated coexpression analysis reveals transcriptional regulation, evolution and cellular implications of the yeast noncanonical translatome
2024 • paper
Learn more →A vast evolutionarily transient translatome contributes to phenotype and fitness
2023 • paper
Learn more →De novo emergence of adaptive membrane proteins from thymine-rich genomic sequences
2020 • paper
Learn more →