Travis Truman
Pennsylvania, United States
Summary
🤩
Rockstar🎓
Top SchoolTravis Truman is an engineering and security leader with 15 years of experience designing and operating cloud platforms and infrastructure across startups and Fortune 50 companies. He has led large-scale cloud migrations and platform modernizations—most notably growing and directing teams that migrated 60M+ streaming customers to IaC-managed EKS clusters while launching multi-region infrastructure with 99.99% availability. Equally comfortable in hands-on engineering and strategic leadership, Travis blends expertise in AWS, Google Cloud, OpenStack, Ruby, Python and Go with strong security and DevOps instincts. He’s an active contributor to open-source projects (including meaningful backend improvements to a Ruby MongoDB driver and Python OLAP tooling), which reflects a focus on durable APIs, testing and documentation. Based in Pennsylvania, he’s known for scaling small teams into high-velocity organizations that deliver reliable, secure products under tight timelines.
15 years of coding experience
28 years of employment as a software developer
Economics International Studies, Economics International Studies at Georgetown UniversityThe Taft School
Github Skills (17)
python10
databases10
database-administration10
mongodb-database10
ruby10
olap10
database-management10
mongodb10
cube10
database10
data-analysis10
api-design9
data-modeling9
rspec9
sql7
Programming languages (13)
Github contributions (5)
mongoid/moped
Jun 2012 - Jun 2012
A MongoDB driver for Ruby
Role in this project:
Back-end Developer
Back-end DeveloperContributions:5 commits in 10 days
Contributions summary:Travis primarily focused on enhancing the `moped` library's functionality related to MongoDB operations. They implemented and refined the `modify` (formerly `and_modify`) functionality, adding support for upserts, modifiers, and handling various options like `new`. Their work involved creating new test cases and improving documentation, demonstrating a focus on delivering a more robust and well-documented API. The changes involved refactoring and renaming of the function and ensuring various edge cases are handled.
mongodb-driverruby
DataBrewery/cubes
Feb 2011 - Feb 2011
[NOT MAINTAINED] Light-weight Python OLAP framework for multi-dimensional data analysis
Role in this project:Back-end Developer
Back-end DeveloperContributions:6 commits in 2 days
Contributions summary:Travis contributed to the `cubes` project, a Python OLAP framework. Their work focused on backend enhancements, including removing obsolete imports, making the builder package visible, and fixing an issue with defaulting measures for multiple measures. They also addressed selector generation and level ordering within the data model, improving consistency. Furthermore, the user commented out a failing test case, demonstrating their involvement in the testing process.
multidimensional-dataolappythondatadata-warehouse
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