Valentina Radtke
Principal Software Engineer at Elastic
Hamburg, Germany
Summary
🤩
Rockstar🎓
Top SchoolValentina Radtke is a Principal Software Engineer based in Hamburg with 11 years of experience building scalable big-data and backend systems across companies like Elastic and SAP. She combines deep hands-on expertise in Scala, Python, Spark and distributed storage (Cassandra, Elasticsearch, PostgreSQL) with a strong operational mindset from earlier technical account management at Microsoft. Valentina has contributed to notable open-source work such as the spark-jobserver project, improving backend job result persistence, dependency handling and concurrency safety—practical fixes that reduce production surprises. She thrives on evolving data infrastructure and deployment automation, mentoring teams while still shipping low-level performance and reliability improvements. Her academic background in computational mathematics and an MS in practical computer science give her a solid theoretical footing that complements pragmatic engineering.
11 years of coding experience
11 years of employment as a software developer
Master of Science - MS, Praktische informatik, Master of Science - MS, Praktische informatik at FernUniversität in HagenLomonosov Moscow State University
English, Russian, German
Github Skills (12)
apache-spark10
rest-api10
scala10
hdfs9
zookeeper8
buildr7
build-engine7
build-tools7
sql6
database-design6
mysql5
postgresql5
Programming languages (3)
Github contributions (5)
spark-jobserver/spark-jobserver
Oct 2018 - Sep 2021
REST job server for Apache Spark
Role in this project:
Back-end Developer
Back-end DeveloperContributions:3 releases, 27 reviews, 133 commits in 2 years 11 months
Contributions summary:Valentina primarily contributed to the back-end functionality of the REST job server for Apache Spark. Their work involved refactoring file caching mechanisms, enhancing deployment scripts by removing configuration files, and introducing Binary and MetaData Data Access Objects (DAOs) for improved flexibility. Furthermore, they modified and implemented support for persisting and retrieving job results, and made changes to ensure synchronization and handle race conditions. The user also added features such as support for URI-based dependencies.
apachesparkjobscalaapache-spark
vglagoleva/spark-jobserver
Dec 2018 - Jun 2021
REST job server for Apache Spark
Contributions:53 pushes, 69 branches in 2 years 7 months
apachesparkjobscalaapache-spark
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