Josh Mahonin
Principal Software Engineer at Redis
Ottawa, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolJosh Mahonin is a Principal Software Engineer with 12 years of hands-on experience designing, building, and operating large-scale data and cloud-native systems. He has a proven track record taking products from prototype to production and has founded and led startups to profitability, including serving as an early engineering leader on a product that scaled to a $100M+ exit. His technical strengths span big data, analytics, distributed systems, networking, and security, with deep experience in hybrid and cloud-native architectures. An active Apache Phoenix committer, he has improved Spark integration and core database behavior, reflecting both systems-level expertise and meaningful open-source impact. Based in Ottawa, he blends engineering leadership with pragmatic delivery—comfortable switching between shipping code, mentoring teams, and architecting resilient platforms. Notably, his career spans product startup grit and enterprise-grade security engineering, giving him a rare ability to move fast without sacrificing robustness.
12 years of coding experience
19 years of employment as a software developer
B.C.S. Honours Software and Computing, B.C.S. Honours Software and Computing at Carleton University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (14)
javas10
databases10
apache-spark10
sql10
apache-phoenix10
java10
database10
dataframe9
test-automation9
scala9
dataframes9
mapreduce8
hadoop-mapreduce8
hbase8
Programming languages (6)
Github contributions (5)
apache/phoenix
Apr 2015 - Feb 2018
Apache Phoenix
Role in this project:
Back-end Developer & Database Engineer
Back-end Developer & Database EngineerContributions:78 commits, 8 PRs, 30 comments in 2 years 10 months
Contributions summary:Josh primarily focused on enhancing the Apache Phoenix integration with Apache Spark, focusing on improving test coverage and functionality. They implemented and updated integration tests to ensure proper behavior within the Spark environment. The user addressed issues related to data type handling, including the support of small and tiny integer types and data type coercion, and improved the handling of table names within the Spark framework. Furthermore, they addressed issues in the Phoenix core to ensure proper exception handling.
sqlapache-phoenixelixirapachebig-data
jmahonin/flink
Jul 2022 - Oct 2024
Apache Flink
Contributions:1 push, 7 branches in 2 years 2 months
flinkapachebig-datadatastreamapache-flink
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