Summary
Josh Blaz is a results-driven Data Engineer with 9 years of experience building ETL pipelines, data marts, and cloud-native analytics solutions across AWS, Snowflake, Redshift, and Databricks. He combines strong Python/PySpark and SQL skills with infrastructure-as-code and orchestration expertise (Terraform, Kubernetes, Docker, GitLab) to deliver reliable production data workflows. At Wavicle he bridged engineering and product by building Databricks transformations and a React-based metadata lineage tool, and at Anheuser-Busch he translated complex finance logic into automated ETL and executive dashboards. Now at DTN, he focuses on scalable data engineering while remaining curious about new tech and automation patterns. A Denison Computer Science alumnus, he also has a history of practical scripting and tooling—his early web-scraper for Denison basketball highlights a knack for saving users time through automation.
9 years of coding experience
3 years of employment as a software developer
Computer Science, Computer Science at Denison University
English