Jordan Ganoff is a Senior Principal Software Engineer with 16 years of experience building cloud-native, data, and big-data systems, currently leading platform work at Docker after a technical leadership role at Stripe driving their Data Platform. He has broad hands-on expertise across distributed systems, containers, edge infrastructure, and data processing—shaping Oracle’s container and security strategy, co-founding a cloud-first ML startup, and contributing to Pentaho’s Hadoop/NoSQL integrations. Jordan pairs architect-level thinking with practical implementation, from improving MapReduce and Hadoop plugins to enhancing full-stack BI tooling and query editors. He is comfortable operating at the intersection of product and infrastructure, designing for compliance and high-assurance environments (FedRAMP/DoD) while keeping developer ergonomics in mind. Based in Issaquah, WA, he combines enterprise-scale cloud architecture with open-source contributions that improve usability and integration in complex data ecosystems. A penchant for tackling “last-mile” usability—cleaning outputs, fixing operators, and smoothing file-browser and parameter workflows—underscores his focus on shipping reliable, user-focused systems.
16 years of coding experience
20 years of employment as a software developer
Bachelors Computer Science, Bachelors Computer Science at University of Central Florida
Kettle plugin that provides support for interacting within many "big data" projects including Hadoop, Hive, HBase, Cassandra, MongoDB, and others.
Role in this project:
Back-end Developer
Contributions:246 commits in 2 years 7 months
Contributions summary:Jordan primarily focused on improving the functionality of the Hadoop Big Data Plugin. Their contributions involved fixing issues related to username/password settings in text fields, updating the file browser for the Hadoop File Input dialog, and addressing class loading issues. They also updated the Pentaho MapReduce jobs and introduced a feature to clean the output path before execution. These changes demonstrate a focus on enhancing the integration of the plugin with various Hadoop components.
Contributions summary:Jordan primarily focused on enhancing the functionality and usability of the Pentaho Data Access Wizard, modifying JavaScript code and Java files. Their work involved adding an aggregation type to the MQL Editor, fixing line endings, and updating query operators. They also improved the MQL XML generation and parameter handling.
data-accesswizardpentaho
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Jordan Ganoff - Senior Principal Software Engineer at Docker, Inc