I build resilient ETL/ELT pipelines, APIs, and databases. Before data engineering, I worked directly with environmental data, in the field and in the lab. That's a big part of why I'm comfortable with data that doesn't arrive in clean rows.
I built this as two parallel pipelines over Manifold Markets' public API and Polymarket, testing calibration and the favorite-longshot bias in 2026 World Cup markets. One runs Spark, dbt, and DuckDB or Postgres as a Kubernetes batch job; the other runs the same logic on Databricks with Delta Live Tables and Unity Catalog.
View project →I combined SAR and optical satellite imagery to classify flood inundation across California wetlands.
View project →I studied co-digestion of food waste and wastewater solids in Yosemite National Park.
View project →About. I'm a data engineer with 6+ years of experience. I build ETLs for third-party data, APIs, and databases, and I care about resiliency and efficiency more than cleverness.
I like working across varied, messy data sources. Before this, I worked with geospatial data for ecosystem monitoring: collecting samples in the field and running analysis in the lab.
These days I mostly prefer to stay indoors.
Open to conversations about data engineering, environmental monitoring, or anything in between.