Data Engineer specializing in SQL, Python, dbt, Snowflake, and modern analytics engineering platforms. I build reliable data pipelines, analytics-ready data models, and scalable transformation workflows that turn complex enterprise data into trusted business insights.
My background in software quality engineering shapes my approach to data engineering. Over more than a decade working across hardware, firmware, desktop software, mobile applications, and embedded platforms, I developed a strong focus on reliability, structured debugging, root cause analysis, and end-to-end system thinking. I now apply that same engineering mindset to building dependable data systems and analytics platforms.
My engineering interests include metadata-driven systems, data quality frameworks, analytics engineering patterns, data lineage, and automation of repeatable workflows. Outside of work, I enjoy collecting and playing guitars, cycling, fitness training, and building technology projects that explore new tools and engineering approaches.