Przemysław Pastuszka
Senior Software Engineer at Google
Krakow, Lesser Poland Voivodeship
Summary
👤
Senior🎓
Top SchoolPrzemysław Pastuszka is a senior software engineer with 14 years of experience building data-intensive, cloud-native systems and real-time platforms. He has led teams at Monzo and Ocado Technology designing transaction monitoring and machine learning/data platforms that process millions of events daily and drove major migrations to GCP while open-sourcing components like an Apache Beam Kinesis connector. A pragmatic tech lead, he blends hands-on backend engineering, testing and reliability work (notably contributing to Spotify’s Luigi workflow) with stakeholder-facing responsibilities including RFCs, vendor/auditor liaison and product-aligned roadmaps. Based in Krakow, he has a track record of turning complex regulatory and operational requirements into robust, scalable systems and even briefly experimented with building an AI storyteller startup.
14 years of coding experience
11 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at University of Wroclaw
English, Polish
Stackoverflow
73reputation
2kreached
0answers
4questions
Github Skills (16)
testing10
luigi10
python10
orchestration-framework10
unit-test9
unit-testing9
scheduling9
hadoop8
apache-spark6
amazon-kinesis6
google-cloud-dataflow6
full-text-search6
apache-beam6
google-app-engine6
spark-streaming6
Programming languages (4)
Github contributions (5)
spotify/luigi
Jul 2014 - Jul 2014
Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.
Role in this project:
Back-end Developer & QA Engineer
Back-end Developer & QA EngineerContributions:10 commits in 16 days
Contributions summary:Przemysław contributed to the `luigi` Python module by implementing new features and improving the testing infrastructure. They added an event for broken tasks and modified the worker to return boolean values based on command outcomes. The user also wrote and modified multiple unit tests, improving code coverage and validating the functionality of core components. These changes suggest a focus on improving error handling and ensuring the reliability of the workflow management system.
pythonbatch-jobsdependency-resolutionorchestration-frameworkworkflow-management
rtshadow/google-dataflow-kinesis
Dec 2015 - Sep 2016
Contributions:54 commits, 60 pushes, 6 branches in 9 months
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