Stephan Meyn is a seasoned Technical Program Manager, based in the Greater Sydney Area, currently delivering strategic cloud and data initiatives at Google. With over a decade of experience spanning Australia, RSA, and Singapore, he excels at engaging clients and leading cross-functional teams from management to technical SMEs. He has a track record of shaping methodology, process deployment, and SDLC standards while delivering complex customer-facing consulting engagements. On the technical side, he contributes to Google Cloud Professional Services projects, notably building and refining an Airflow DAG in Cloud Composer to remove other DAGs and clean up metadata, using Python and MySQL with strong emphasis on reliability and error handling. His career spans roles at Google as Strategic Cloud Engineer and now Technical Program Manager, as well as consulting and enterprise architecture work at Rocket Software and Object Consulting, blending people skills with deep technical expertise. A lifelong learner with a chemistry background (Diploma from Technische Universität Berlin), he thrives on tackling challenging problems and translating technical complexity into practical business outcomes.
10 years of coding experience
17 years of employment as a software developer
Diploma, Chemistry, Diploma, Chemistry at Technische Universität Berlin
Common solutions and tools developed by Google Cloud's Professional Services team. This repository and its contents are not an officially supported Google product.
Role in this project:
Backend Developer
Contributions:1 review, 41 commits, 10 PRs in 1 year 8 months
Contributions summary:Stephan primarily focused on developing and maintaining an Airflow DAG within the context of Google Cloud Composer. Their work involved creating a DAG to remove other DAGs, including cleaning up associated metadata, indicating an understanding of workflow management and database interactions. The user made several iterative improvements, including error handling and edge case consideration. The commits demonstrate strong usage of Python and integration with MySQL databases.
Contributions:80 commits, 87 pushes, 1 branch in 2 years 6 months
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