Tamara Fingerlin

Senior Developer Advocate

Switzerland
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Summary

👤
Senior
🎓
Top School
Tamara Fingerlin is a Senior Developer Advocate at Astronomer based in Switzerland, specializing in Apache Airflow and developer experience for data engineering teams. With four years of industry experience and a Data Science Immersive background from General Assembly, she blends practical data science knowledge with hands-on backend contributions to open-source projects. Tamara has contributed documentation fixes and bug resolutions to the flagship apache/airflow repository, improving provider docs for Kafka, Spark, and object storage and addressing subtle runtime issues like skipped trigger rules and map_index_template rendering. She is known for making complex workflow tooling more accessible—authoring and promoting practical resources for Airflow users. Colleagues value her combination of clear communication, developer advocacy, and attention to detail in both code and docs.
code4 years of coding experience
job4 years of employment as a software developer
bookData Science Immersive, Data Science, Data Science Immersive, Data Science at General Assembly
languagesEnglish, German, French
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Github Skills (12)

apache-airflow10
orchestration10
orchestra10
workflow-engine10
data-pipelines10
data-pipeline10
python10
documentation10
kafka9
spark8
etl8
testing7

Programming languages (5)

MDXJavaScriptGoJupyter NotebookPython

Github contributions (5)

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apache/airflow

Sep 2022 - Apr 2025

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Role in this project:
userBackend Developer & Data Engineer
Contributions:16 reviews, 21 PRs, 62 comments in 2 years 7 months
Contributions summary:Tamara primarily contributed to documentation updates and bug fixes within the Apache Airflow project. Their work included fixing typos, correcting documentation for various providers (Kafka, Spark, Object Storage), and modifying code to align with the latest API changes. They also made updates to the codebase, specifically to incorporate handling for all skipped trigger rules and fixing an issue with the rendering of `map_index_template`.
monitorpythonschedulerapacheprogrammatically
TJaniF/airflow

Mar 2023 - Aug 2023

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Contributions:38 pushes, 13 branches in 5 months
monitorapacheprogrammaticallyapache-airflowairflow
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