Ethan Jewett
Vice President Of Technology at The Apache Software Foundation
Minneapolis, Minnesota, United States
Summary
🤩
Rockstar🎓
Top SchoolEthan Jewett is a seasoned technology leader with 17 years of experience, currently serving as Vice President of Technology at Mindset Consulting in Minneapolis. He has risen through progressive leadership roles in DevOps, development, and solutions delivery, blending hands-on engineering with strategic technology management. A long-time Apache Software Foundation committer, Ethan contributes to open-source distributed systems work and has practical integration experience—such as adding HBase support to the widely used Spark ecosystem and performance tuning in Crossfilter. His background in philosophy with a mathematics minor signals a thoughtful, analytical approach to complex technical and organizational problems. Known for turning deep technical contributions into pragmatic, production-ready solutions, he pairs entrepreneurial consulting experience with enterprise-grade engineering.
17 years of coding experience
18 years of employment as a software developer
BA Philosophy minor in Mathematics, BA Philosophy minor in Mathematics at University of Chicago
German
Stackoverflow
6,010reputation
216kreached
218answers
1question
javascript
top-5%
Github Skills (22)
hbase10
javascript10
spark10
big-data10
java10
javas10
performance-optimization10
hadoop9
data-structure9
lib9
algorithm9
algorithms9
scala9
data-structures9
data-storage8
Programming languages (14)
Github contributions (5)
crossfilter/crossfilter
Jun 2015 - Apr 2019
Fast n-dimensional filtering and grouping of records.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:10 releases, 52 commits, 45 PRs in 3 years 10 months
Contributions summary:Ethan made several micro-optimizations to the core `crossfilter.js` file. The changes focused on optimizing for loops within the code to improve performance and match existing coding style conventions. These optimizations suggest a focus on improving the underlying performance characteristics of the core library functions.
pythonrecordsn-dimensionaldimensionalfiltering
mesos/spark
May 2013 - May 2013
Lightning-fast cluster computing in Java, Scala and Python.
Role in this project:Back-end Developer
Back-end DeveloperContributions:6 commits in 16 days
Contributions summary:Ethan primarily contributed to integrating HBase with the Spark framework. Their work involved adding an HBase example, configuring HBase dependencies, and modifying code to interact with HBase tables. The user made improvements by removing unnecessary configurations and switching to the SparkContext method for creating RDDs. Furthermore, they addressed code formatting and documented configuration options related to the HBase integration.
pythoncluster-computinglightningsparkscala
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