Andreas Weller
Machine Learning Engineering Manager at Spotify
Tübingen, Baden-Württemberg, Germany
Summary
🤩
Rockstar🎓
Top SchoolAndreas Weller is an engineering manager with 12 years of experience building and leading data and ML teams across startups and large tech firms, currently heading Data & ML engineering at Spotify. He combines hands-on backend engineering (notably contributions to the popular PyPika SQL builder) with strategic ownership of the full ML lifecycle—from data lineage and on-demand forecasting to model monitoring in production. His background spans bioinformatics research and industry roles where he designed cloud-native ML platforms (AWS, Kubernetes, Spark) and production data pipelines. Known for hiring and scaling remote teams, he also teaches and mentors, bringing a rare blend of academic rigor (PhD in Bioinformatics) and product-focused execution. An unconventional asset: he pairs deep domain expertise in genomics with practical experience shipping data-driven systems for consumer and scientific use cases.
12 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (PhD), Bioinformatics, Doctor of Philosophy (PhD), Bioinformatics at Max Planck Institute for Biology (Tübingen)Coach, Coach at Bridgehouse Coach Academy
German, English, French, Spanish
Stackoverflow
13reputation
100reached
0answers
1question
Github Skills (13)
sql10
python10
builders10
builder-io10
query-builder10
builder-pattern10
data-set8
data-model8
testing8
user-data8
json6
chartjs6
jquery6
Programming languages (2)
Github contributions (5)
kayak/pypika
Mar 2017 - Jul 2017
PyPika is a python SQL query builder that exposes the full richness of the SQL language using a syntax that reflects the resulting query. PyPika excels at all sorts of SQL queries but is especially useful for data analysis.
Role in this project:
Backend Developer
Backend DeveloperContributions:12 commits, 8 PRs, 15 pushes in 3 months
Contributions summary:Andreas contributed to the `pypika` library by adding new functionalities such as the `ToChar` function for SQL formatting and VARCHAR support in `SqlTypes`. They also addressed a bug related to the GROUPBY function and improved code by adding a negation criterion. Furthermore, they bumped the library's version in several commits, indicating involvement in maintaining the project.
data-analysispypikapython-sqlquery-buildersql
aweller/CancerPipeline
Apr 2014 - Jun 2014
Contributions:60 commits in 1 month
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