Alexey Romanenko
Principal Cloud Software Architect at Qlik
Greater Paris Metropolitan Region France
Summary
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Rockstar🎓
Top SchoolAlexey Romanenko is a Principal Cloud Software Architect based in Greater Paris with over 20 years in software development and a deep focus on cloud-native and data-processing systems. He combines hands-on engineering in Java, Kubernetes, AWS and service mesh technologies with product-facing architectural guidance at Qlik and a history of integrating open-source projects into enterprise products at Talend. A long-standing contributor and former PMC member for Apache Beam, he has improved IO stability and added practical features for streaming systems—work that impacts a widely used unified model for batch and streaming data. His background includes designing S3/SWIFT-compatible object storage and scaling Hadoop/HBase-based infrastructures for petabyte datasets, reflecting a blend of low-level distributed systems expertise and cloud architecture. Known for mentoring teams across geo-distributed environments and speaking at industry events, he pairs technical leadership with community influence through the Apache Software Foundation.
8 years of coding experience
17 years of employment as a software developer
Master Degree in Engineering Electronics, Master Degree in Engineering Electronics at Moscow Aviation Institute (National Research University)
English, Russian, French
Stackoverflow
1,393reputation
47kreached
82answers
0questions
Github Skills (10)
javas10
apache-beam10
java10
data-processing9
testing8
apache-beam-io6
apache-spark6
google-cloud-dataflow6
google-cloud-platform6
jaxb6
Programming languages (6)
Github contributions (5)
apache/beam
Jan 2018 - Jan 2023
Apache Beam is a unified programming model for Batch and Streaming data processing.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:588 reviews, 480 commits, 506 PRs in 5 years
Contributions summary:Alexey made multiple contributions to the Apache Beam project, primarily focused on enhancing the input/output (IO) capabilities. Their work involved improving javadoc for the BigtableIO.Write methods, updating the HBaseIOTest to utilize random table names and adding tests. The user also addressed issues with Kinesis tests and added a withRequestRecordsLimit() option to KinesisIO, demonstrating their involvement in improving the stability and functionality of the project's data processing components.
golangpythonstreaming-databeambatch
aromanenko-dev/beam
Dec 2017 - Dec 2023
Apache Beam
Contributions:1 review, 3 PRs, 290 pushes in 6 years 1 month
beamapachebig-datajavaapache-beam
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