Frank Bertsch
Beachwood, Ohio, United States
Summary
🤩
Rockstar🎓
Top SchoolFrank Bertsch is a data engineer with 9 years of experience building scalable data systems and analytical platforms, currently at Netflix after roles at Mozilla and Affirm. He specializes in data modeling, columnar storage, and pipeline orchestration using tools like SQL, BigQuery, Spark/PySpark, DBT, Airflow, and Docker to turn complex data into reliable, query-optimized assets. With a strong academic foundation in computer science and physics (Xavier University, University of Wisconsin–Madison), he combines statistical thinking and optimization techniques to improve performance and cost-efficiency in large-scale data environments. Frank is pragmatic about production readiness—favoring Parquet, Athena, and LookML for downstream usability—and often bridges engineering and analytics teams to deliver actionable metrics. Based in Beachwood, Ohio, he brings a blend of research-informed rigor and hands-on implementation experience across industry-leading platforms.
9 years of coding experience
Bachelor of Science (B.S.), Computer Science, Physics, Cum Laude, Bachelor of Science (B.S.), Computer Science, Physics, Cum Laude at Xavier UniversityMaster's degree, Computer Science, Master's degree, Computer Science at University of Wisconsin-Madison
Github Skills (200)
apache-spark10
looker10
python10
athena10
code-behind10
probe10
data-warehouse10
hadoop10
firefox-addon10
datasets10
data-ingestion10
etl10
representations10
validating10
automation10
Programming languages (17)
Github contributions (5)
fbertsch/python_moztelemetry
Oct 2016 - Aug 2018
Spark bindings for Mozilla Telemetry
Contributions:45 pushes, 15 branches in 1 year 10 months
sparktelemetryscalamozilla-telemetrymozilla
fbertsch/python_mozaggregator
Nov 2016 - Jun 2021
Aggregator job for Telemetry.
Contributions:177 pushes, 57 branches in 4 years 8 months
jobtelemetryaggregator
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