Gordon Wrigley is a hands-on Chief Technology Officer and seasoned Python developer with over 14 years of software engineering experience and more than a decade focused on Python. He has led engineering teams and built production systems from embedded C drivers to cloud-native Python/Django platforms, notably co-founding and personally engineering the Hotcakes eCommerce stack. As CTO at Eligible.ai and former Engineering Director at YPlan, he blends product-minded architecture with operational rigor to ship high-performance APIs and scalable pipelines. An active open-source contributor, he has improved flagship data engineering tooling like Kedro and Kedro-Viz and even contributed geometry fixes in a Haskell CAD project, demonstrating a rare comfort across languages and domains. Colleagues know him for raising engineering standards through testing, structure and pragmatic technical leadership while staying deeply involved in implementation.
14 years of coding experience
16 years of employment as a software developer
GradDipSci Computer Science, GradDipSci Computer Science at University of Canterbury
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
Role in this project:
Back-end Developer
Contributions:35 commits, 2 PRs, 270 pushes in 4 months
Contributions summary:Gordon focused on enhancing the `kedro` library's functionality. They introduced and implemented an `exists` method for the `LambdaDataSet` and integrated the `ExistsMixin` into the `AbstractDataSet` class. This involved modifying core data set classes and related test files. Additionally, the user removed an unused pipeline logger, refactored code, and merged existing code releases to maintain the project's stability.
Visualise your Kedro data and machine-learning pipelines and track your experiments.
Role in this project:
Back-end Developer
Contributions:9 commits, 17 PRs, 26 pushes in 2 months
Contributions summary:Gordon focused on refactoring and improving the backend API for the Kedro-Viz project. Their work included adopting a new JSON format for data representation and implementing endpoints for serving pipeline data. They also addressed caching issues and removed an old API endpoint. Furthermore, they introduced changes to handle backwards compatibility with older Kedro versions and made improvements to the test suite.
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Gordon Wrigley - Chief Technology Officer at Eligible.ai