Artem Shutak is a Data Engineering Lead and architect with 14 years in software and data engineering, known for designing and operating high-throughput streaming platforms and petabyte-scale data ecosystems. He has led teams of up to 15 engineers to build production streaming data platforms handling exponential growth—millions of events per second—and drove a migration from DWH to lakehouse architectures (S3, Iceberg, Trino). A former full‑stack developer and long-time Apache Ignite contributor, Artem blends deep systems-level insight with pragmatic product and delivery management, having rebuilt delivery processes and cultivated an “architecture-first” culture. He has proven performance optimization chops across Spark, Kafka and large-scale ETL, and has experience turning POCs into MVPs and production at major companies including Tinkoff, VK and Apple. Based in London, he pairs hands-on technical ownership of core platform components with mentoring and training experience, evident from running Kafka courses and leveling up multiple team members. An often-overlooked strength is his history of internal code maintenance on flagship open-source projects, reflecting comfort working in complex, legacy-rich codebases.
14 years of coding experience
12 years of employment as a software developer
Master's degree Mathematics and Computer Science, Master's degree Mathematics and Computer Science at Saint Petersburg State University
Contributions:680 commits, 151 PRs, 435 comments in 1 year 4 months
Contributions summary:Artem's commits primarily involve code modifications and refactoring within the Apache Ignite codebase, particularly focusing on the transition from "@gglink" to "@ignitelink". The user made changes to several core modules, updating references and class names, indicating a focus on internal code maintenance. The user also rebuilt a shared library and updated related files.
Contributions:461 pushes, 106 branches in 9 months
incubatingapache-igniteapachebig-dataignite
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