Joe Pennebaker
Director Of Conversion Rate Optimization Co-Founder
Atlanta, Georgia, United States
Summary
🤩
Rockstar🎓
Top SchoolJoe Pennebaker is a data-driven ecommerce marketer and Co-Founder who has spent 11 years optimizing digital experiences to lift purchase rates, revenue per transaction, and lifetime value for DTC brands. He blends hands-on CRO, A/B testing, and front-end development with paid media and email strategy, having led wins like 30% revenue-per-user lifts and double-digit transaction gains across multiple clients. As Director of CRO at Lemma Marketing and founder of Kindred Conversion, he pairs a builder’s mindset with agency-scale execution—standing up pages, running rigorous experiments, and shipping measurable UX improvements. Unusually for a growth specialist, he also contributes to backend open-source work (Apache Hudi), fixing data-mapping and Spark/Hive integration bugs, which gives him extra credibility working with data engineering teams. Based in Atlanta and trained in Media Arts, Joe combines creative instincts with technical chops to turn UX hypotheses into repeatable revenue outcomes.
11 years of coding experience
4 years of employment as a software developer
Bachelor’s Degree, Media Arts, Bachelor’s Degree, Media Arts at University of South Carolina
Github Skills (10)
javas10
hive10
apache-spark10
apache-hudi10
hadoop10
java10
data-integration9
incremental-processing9
scala9
stream-processing8
Programming languages (4)
Github contributions (5)
apache/hudi
Sep 2019 - Nov 2022
Upserts, Deletes And Incremental Processing on Big Data.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:113 reviews, 47 commits, 64 PRs in 3 years 2 months
Contributions summary:Joe primarily focused on bug fixes and improvements within the `apache/hudi` repository. Their contributions included addressing logging issues within the `HoodieSparkSqlWriter` and resolving incorrect column mapping problems that were causing data issues during real-time table merges. They also made changes to support Glue catalog and other Hive metastore implementations. Their work involved modifications across Java and Scala files, including those related to Hadoop, Hive, and Spark SQL integration.
stream-processingbigdatahudiincrementalapacheflink
umehrot2/incubator-hudi
Sep 2019 - Oct 2022
Upserts And Incremental Processing on Big Data
Contributions:128 pushes, 76 branches in 3 years 1 month
deltastream-processingincrementalsingerincremental-processing
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