At BÆRSkin Tactical Supply Co. (divbrands), I design and maintain the data platform behind company analytics, using Airflow on Kubernetes, dbt, BigQuery, Databricks, Python, and SQL. I ingest data from APIs, relational databases, and SaaS tools.
I led a warehouse deprecation push that archived 155 datasets, soft-deleted 27 BigQuery schemas, and paused more than 200 ETLs, cutting data-stack spend by about 22%. I also shrank the GCS data lake from 128 TB to 22 TB in one month with no data loss, reducing recurring storage costs by about 70%.
My path has taken me from IT support through RPA and Python development to data engineering, with a consistent focus on stopping people from doing the same thing twice. I care about observable, opinionated systems that stay quiet most of the time, and I’ve handled incident response, code reviews, and technical standards.

