Bas Harenslak
Senior Solutions Architect at Astronomer
Netherlands
Summary
🤩
Rockstar🎓
Top SchoolBas Harenslak is a Senior Solutions Architect in the Netherlands with a decade of experience building zero-maintenance, data-driven products that prioritize performance, scalability and reliability. He is a co-author of Data Pipelines with Apache Airflow and a committer to the widely used Apache Airflow project, contributing core refactors and improved DAG examples. His hands-on background spans cloud migrations and platform builds across AWS, GCP and Azure, containerized deployments (Kubernetes/EKS/GKE), and productionizing ML workflows and data pipelines. He combines an SRE mindset with a start-up mentality—obsessed with making systems that a user can trigger with a single click and then never worry about again. A cum laude MSc in Computer Science and an eclectic early career (including a role as an executive chauffeur) reflect both technical rigor and an unusual emphasis on professionalism and reliability.
10 years of coding experience
12 years of employment as a software developer
Master of Science (MSc), Computer Science, Cum laude, Master of Science (MSc), Computer Science, Cum laude at Leiden UniversityB ICT (Bachelor of Information and Communication Technology), Software Engineering, B ICT (Bachelor of Information and Communication Technology), Software Engineering at De Haagse Hogeschool / The Hague University of Applied SciencesVWO (Pre University Education), VWO (Pre University Education) at Maerlant Lyceum
Dutch, English, German
Stackoverflow
2,876reputation
239kreached
111answers
1question
airflow
top-1%
Github Skills (27)
apache-airflow10
data-pipelines10
python10
data-engineering10
refactorings10
etl10
airflow10
refactoring10
data-pipeline10
devops10
dockerce9
unit-testing9
dockers9
bash9
docker9
Programming languages (8)
Github contributions (5)
BasPH/data-pipelines-with-apache-airflow
Jun 2019 - Jan 2023
Code for Data Pipelines with Apache Airflow
Role in this project:
Data Engineer
Data EngineerContributions:1 review, 89 commits, 23 PRs in 3 years 7 months
Contributions summary:Bas primarily contributed to building data pipelines using Apache Airflow, as evidenced by the creation of DAGs for various data processing tasks. They implemented DAGs for downloading and processing data from external sources, specifically for rocket launch data and pageview data. The user also worked on setting up different execution environments, creating setups for sequential and local executors. Their work involved scripting and configuration to support the overall data pipeline infrastructure.
pythonpipelinedata-scienceapachespark
apache/airflow
Feb 2018 - Mar 2025
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Role in this project:Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:134 reviews, 211 PRs, 57 pushes in 7 years 2 months
Contributions summary:Bas refactored and improved various example DAGs within the Apache Airflow project. The user's contributions included refactoring code and addressing typos to improve code quality. They also moved models and features like DagPickle, Kube classes, SkipMixin, Connection and errors out of models.py, contributing to a better architecture. Furthermore, they added features to the `BranchPythonOperator` for increased usability.
monitorpythonschedulerapacheprogrammatically
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