Cedrik Neumann
Resident Solutions Architect at Astronomer
Mexico City
Summary
🤩
Rockstar🎓
Top SchoolCedrik Neumann is a Resident Solutions Architect with 11 years' experience designing and operating data and workflow platforms, currently based in Mexico City and open to opportunities outside Germany. He brings deep backend and DevOps expertise from senior roles at King and contributions to Apache Airflow—where he improved BigQuery and Google Cloud integrations and implemented operators that make task skipping more consistent. Skilled at translating complex data engineering needs into reliable production systems, he has a strong grounding in computational and applied mathematics from TU Berlin. Known for pragmatic improvements to open-source infrastructure, Cedrik blends hands-on coding with architecture and customer-facing solutioning across cloud-native environments.
11 years of coding experience
11 years of employment as a software developer
Diploma Computational and Applied Mathematics, Diploma Computational and Applied Mathematics at Technische Universität Berlin
German, English, Spanish
Stackoverflow
151reputation
11kreached
5answers
1question
Github Skills (28)
apache-airflow10
google-cloud-platform10
bigquery10
python10
gcp10
google-cloud10
kubernetes9
devops9
kubernetes-pods9
automations8
automation8
data-engineering8
testing7
workflow-engine7
sql7
Programming languages (11)
Github contributions (5)
apache/airflow
Jun 2015 - Mar 2025
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:18 reviews, 14 PRs, 66 comments in 9 years 10 months
Contributions summary:Cedrik primarily contributed to the backend operations of the Apache Airflow project, specifically enhancing the BigQueryOperator by enabling support for running multiple queries and incorporating type annotations. They also implemented the LatestOnlyOperator as a subclass of BaseBranchOperator, improving the consistency of task skipping behavior. Further contributions involved fixing Google Cloud integration issues, including respecting connection IDs and impersonation chains in various operators and triggers, and enhancing the handling of credentials in GKE operators.
monitorpythonschedulerapacheprogrammatically
m1racoli/airflow
Jul 2019 - Mar 2025
Apache Airflow
Contributions:31 pushes, 14 branches, 3 tags in 5 years 8 months
bigqueryapacheairflowapache-airflow
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