Bartosz Jankiewicz

Engineering Manager at Google

Wroclaw Metropolitan Area Poland
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Summary

👤
Senior
🎓
Top School
Bartosz Jankiewicz is an experienced engineering manager and system architect with 13+ years of building high-performance, distributed systems using Java and Scala, now leading engineering at Google from Poland. He blends hands-on functional programming and Big Data expertise—Hadoop, Spark and data streaming—with pragmatic leadership cultivated at Ocado Technology and Credit Suisse. A proponent of reactive architectures and continuous delivery, he reliably turns shifting requirements into robust, production-grade solutions. Active in open source, he has contributed improvements to Apache Airflow’s Google Cloud Dataproc integration and core performance/security areas. Beyond engineering, his background in economics and statistics informs a data-driven approach to team and product decisions.
code13 years of coding experience
job18 years of employment as a software developer
bookPost graduate diploma Internet programming, Post graduate diploma Internet programming at Wrocław University of Science and Technology
bookmaster of business economics and mathematics, master of business economics and mathematics at Wroclaw University of Economics and Business
languagesEnglish
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Stackoverflow

Stats
367reputation
16kreached
6answers
7questions
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Github Skills (23)

apache-airflow10
google-cloud-dataproc10
python10
data-engineering10
gcp10
snowflake9
automations8
data-pipeline8
data-pipelines8
automation8
workflow-engine8
devops8
orchestra7
orchestration7
actor6

Programming languages (9)

TypeScriptJavaCSSScalaSCSSJavaScriptJupyter NotebookDart

Github contributions (5)

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apache/airflow

May 2022 - Sep 2024

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Role in this project:
userData Engineer
Contributions:7 reviews, 9 PRs, 20 comments in 2 years 4 months
Contributions summary:Bartosz's commits primarily focus on enhancing the functionality and efficiency of Google Cloud Dataproc integration within Apache Airflow. They contributed to the asynchronous submission of Dataproc jobs, introduced and optimized the batch processing of Fernet key rotation, and fixed an issue related to invalid private key paths in Snowflake hooks. These changes involved code modifications in providers related to Google Cloud services and improvements to core Airflow functionalities like security and performance.
airflowapache-airflowapachepythonscheduler
outworkers/reactiveneo

Aug 2014 - Sep 2015

[DISCONTINUED] Reactive type-safe Scala driver for Neo4J
Contributions:39 commits, 7 PRs, 25 pushes in 1 year
driverneo4jscalatypesafe
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