Anita Fronczak
Software Engineer at Netflix
Warsaw, Masovian Voivodeship, Poland
Summary
🤩
Rockstar🎓
Top SchoolAnita Fronczak is a software engineer with 11 years of experience building backend and data-intensive systems, currently contributing to Netflix Studio Technologies where she is learning the video post-production domain. She has a strong JVM background in Java and Scala, complemented by production Python work and hands-on experience with big data tools like Spark, Hadoop, and AWS data pipelines. Anita has shipped features and operational improvements at major cloud and platform companies—Amazon (video processing), Google Cloud (Cloud Composer/Data Catalog), and contributions to Apache Airflow that improved its REST API, test coverage, and migration locking. Her work spans building ML platform infrastructure (neptune.ai), orchestration and observability, and game/backend systems, showing versatility across domains and scale. Based in Warsaw, she combines pragmatic engineering with a knack for improving system reliability and developer experience in complex distributed environments.
11 years of coding experience
11 years of employment as a software developer
Master of Science, Computer System Engineering, Master of Science, Computer System Engineering at Warsaw University of Technology
Polish, English
Stackoverflow
796reputation
84kreached
4answers
0questions
firebase
top-5%
webpack
top-5%
Github Skills (26)
api-rest10
apache-airflow10
python10
api-design10
restful-api10
data-engineering10
testing10
workflow-engine10
rest-api10
orchestration10
orchestra10
mysql9
postgresql9
webpack9
ecmascript9
Programming languages (8)
Github contributions (5)
apache/airflow
Jan 2020 - Jul 2021
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Role in this project:
Backend & DevOps Engineer
Backend & DevOps EngineerContributions:9 reviews, 20 PRs, 90 comments in 1 year 6 months
Contributions summary:Anita primarily contributed to enhancing the REST API and improving the test suite for Apache Airflow. They ensured the REST API correctly handled the `store_serialized_dags` setting and expanded the test coverage. Furthermore, the user implemented database locking mechanisms to prevent parallel execution of database migrations during `init` and `upgrade` commands, ensuring data integrity. These contributions demonstrate a focus on both backend functionality and operational considerations.
monitorpythonschedulerapacheprogrammatically
anitakar/advent-of-code-kotlin
Dec 2022 - Jan 2025
Contributions:97 pushes, 1 branch in 2 years 1 month
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