Yetunde Dada
London, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolYetunde Dada is a senior product leader who has spent over a decade turning complex AI and data platform capabilities into products teams actually adopt, currently shaping workflow orchestration and ML scalability as Senior Director of Product Management at Astronomer. She scaled product strategy and open-source distribution at QuantumBlack, helping grow Kedro — a widely used production-ready data science framework now part of the Linux Foundation — and contributes hands-on to its documentation and developer workflows. With an Oxford MBA and an engineering background, she blends technical fluency in data engineering with product, community and go-to-market acumen to drive adoption across enterprise teams. Her work consistently focuses on making developer workflows more productive through opinionated defaults that preserve flexibility, and she has a track record of translating research-grade capabilities into repeatable, production-ready solutions.
7 years of coding experience
8 years of employment as a software developer
Master of Business Administration - MBA, Master of Business Administration - MBA at Saïd Business School, University of OxfordBEng (Hons) Technology Management, Technology Management, BEng (Hons) Technology Management, Technology Management at University of Pretoria
English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (8)
kedro10
api-documentation10
python10
pipeline10
documentation10
fsspec9
data-engineering8
machine-learning7
Programming languages (7)
Github contributions (5)
kedro-org/kedro
Jun 2019 - Nov 2022
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:
Data Engineer & Documentation Specialist
Data Engineer & Documentation SpecialistContributions:127 reviews, 68 commits, 44 PRs in 3 years 6 months
Contributions summary:Yetunde contributed to the project by modifying documentation, updating images, and improving the overall structure of the API documentation. They also made changes to the project's templates and integrated Databricks workflow information. Furthermore, the user updated the project to reflect changes in fsspec and added a citation to cite Kedro correctly. The user also focused on improving the documentation and making it more user-friendly.
experiment-trackingpythonsciencepipelinedata-science
yetudada/yetudada
Nov 2020 - Jan 2023
Contributions:17 commits, 22 pushes in 2 years 2 months
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