Joel Schwarzmann
Product Manager Flux Platform
London, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolJoel Schwarzmann is a product-minded engineering leader with 7 years of experience building data platforms and ML products across healthcare, pharmaceuticals, manufacturing and motorsport. Currently Product Manager for the Flux Platform at PhysicsX, he previously led technical product and platform teams at Population Health Partners, Aneira Health and Onsera, combining hands-on data engineering with strategic product delivery. At QuantumBlack (McKinsey) he bridged forward-deployed engineering and product management, helping clients operationalize analytics into production systems. A pragmatic open-source contributor, he has enhanced kedro’s DataCatalog and added pandas dataset support, showing a focus on reproducible, maintainable data pipelines. Based in London and grounded in a Computer Science with Management degree, he blends consultancy rigor with startup velocity to ship reliable, auditable ML and data solutions.
7 years of coding experience
12 years of employment as a software developer
BSc Computer Science with Management, BSc Computer Science with Management at University of Birmingham
Stackoverflow
1,506reputation
126kreached
50answers
1question
pyspark
top-5%
apache-spark
top-5%
Github Skills (18)
data-pipelines10
python10
pandas10
kedro10
regular-expression10
pipeline10
data-catalog10
data-pipeline10
apache-spark9
pyspark9
experiment8
azure6
collaboration6
mlops6
sparkr6
Programming languages (8)
Github contributions (5)
kedro-org/kedro
May 2020 - Aug 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
Data EngineerContributions:223 reviews, 45 commits, 34 PRs in 2 years 3 months
Contributions summary:Joel primarily contributed to the `kedro-org/kedro` repository by implementing and enhancing data catalog functionalities. This included adding features like regular expression filtering to the `DataCatalog.list` function, improving documentation, and adding a generic pandas dataset to extras, improving the capabilities of the library. Further contributions involved refactoring code and resolving merge conflicts.
experiment-trackingpythonsciencepipelinedata-science
datajoely/modular-spaceflights
Oct 2021 - Mar 2022
This is a prototype version of the Kedro spaceflights tutorial that utilises the modular pipelines pattern.
Contributions:1 review, 91 commits, 5 PRs in 4 months
pipelinekedroprototyperocketmodular
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