Tim Harsch
Engineering Manager at Unite Genomics, Inc.
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolTim Harsch is an engineering manager and seasoned software engineer with 21+ years of product development experience, currently leading engineering at Unite Genomics in the San Francisco Bay Area. He blends deep hands-on expertise in big data, Spark, distributed systems and Java/Scala toolchains with strong team-building and Scrum leadership, having architected automation and validation frameworks at Cray and led data engineering efforts at Teradata/Think Big. Tim has a track record of integrating complex platforms—evidenced by his Kylo contributions (improving Spark stability and adding EMR, VCS and JupyterHub integrations)—that bridge data pipelines, analytics, and reproducible data science. Comfortable from low-level OS and cluster orchestration to cloud-native stacks (AWS, Docker, Helm), he frequently pairs practical systems thinking with a long-view product mindset. Colleagues see him as an insightful mentor who prefers solving hard reliability and performance problems while enabling teams to deliver scalable, production-grade data platforms.
11 years of coding experience
12 years of employment as a software developer
Bachelor of Science (BS), Computer Science, Bachelor of Science (BS), Computer Science at University of California, DavisAS, Computer Science, AS, Computer Science at Mendocino College
Stackoverflow
31reputation
41reached
2answers
1question
Github Skills (22)
spark10
data-pipelines10
data-engineering10
java10
javas10
data-pipeline10
hadoop9
rest-api8
sql8
api-rest8
restful-api8
api-design8
thrift7
maven6
react-router6
Programming languages (5)
Github contributions (5)
Teradata/kylo
Jan 2017 - Dec 2018
Kylo is a data lake management software platform and framework for enabling scalable enterprise-class data lakes on big data technologies such as Teradata, Apache Spark and/or Hadoop. Kylo is licensed under Apache 2.0. Contributed by Teradata Inc.
Role in this project:
Back-end Developer & Data Engineer
Back-end Developer & Data EngineerContributions:248 commits, 4 PRs, 158 pushes in 1 year 11 months
Contributions summary:Tim primarily worked on improving the functionality and stability of the Kylo data lake management platform. Their commits focused on fixing issues with long-running Spark scripts and addressing failures within the Spark file schema parser service. Furthermore, they made changes to the template import and table creation processes, suggesting involvement in the data pipeline aspects of the platform. The user demonstrated a strong understanding of Spark and its associated processes, as well as a focus on addressing errors and improving performance.
data-lakelicensedbig-dataetlapache-spark
harschware/kylo
May 2018 - Jan 2019
Contributions:49 pushes, 18 branches in 8 months
thinkdata-lakelicensedbig-datakylo
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