Maksim Moiseenkov
Senior Software Engineer at Sendcloud
Krakow, Lesser Poland Voivodeship, Netherlands
Summary
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Rockstar🎓
Top SchoolMaksim Moiseenkov is a Senior Software Engineer with over a decade of professional experience, specializing in backend systems, cloud-native architectures, and data orchestration. He has driven production integrations and feature work for Apache Airflow—contributing fixes and enhancements to a high-profile open-source project—and built data lineage tooling for GCP Cloud Composer in production. Comfortable across Python/Django, GCP, Airflow, and high-performance computing (CUDA, MPI, OpenMP), he blends pragmatic API and microservice design with low-level optimization experience from GPU and parallel-computing research. Maksim has led and mentored distributed teams, owned large enterprise APIs, and repeatedly delivered reliability and performance improvements for high-scale clients. Based in Krakow with advanced English and native Russian, he also actively contributes provider packages that bridge Airflow to cloud services—an indication of his focus on interoperable, maintainable engineering.
7 years of coding experience
7 years of employment as a software developer
Master of Science Applied Mathematics and Informatics, Master of Science Applied Mathematics and Informatics at Perm State University (PSU)
Russian, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (19)
apache-airflow10
google-cloud-platform10
python10
gcloud10
workflow-engine10
gcp10
google-cloud-storage10
cloud-storage10
orchestration10
devops10
data-engineering9
data-pipelines9
etl9
data-pipeline9
kubernetes-pods8
Programming languages (2)
Github contributions (5)
apache/airflow
Oct 2022 - Jan 2025
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Role in this project:
Backend & DevOps Engineer
Backend & DevOps EngineerContributions:105 reviews, 100 PRs, 176 comments in 2 years 4 months
Contributions summary:Maksim contributed to the `apache/airflow` repository by fixing and improving existing components and configurations. They addressed issues in the Google Cloud Storage (GCS) transfer operator and ensured wildcard functionality was correctly implemented. The user also added new features to the S3ToGCSOperator, and removed a legacy feature package related to MySQL. In addition, they fixed errors with various system tests, demonstrating a focus on reliability and maintainability.
monitorpythonschedulerapacheprogrammatically
lwyszomi/airflow
Oct 2022 - Feb 2024
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Contributions:85 reviews, 69 PRs, 1144 pushes in 1 year 4 months
monitorapacheprogrammaticallyapache-airflowairflow
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