Andrey Shatokhin is a Principal DevOps Engineer with over a decade of hands-on experience designing and operating resilient data infrastructure for AI and analytics workloads. At Veeam he builds and maintains end-to-end data pipelines—collection, transformation, storage, enrichment and vectorization—driven by Kubernetes, Docker and GitLab/GitHub CI. He combines deep systems expertise (Postgres HA, Kafka, MinIO, Prometheus/Victoriametrics) with infrastructure-as-code and automation skills to keep large-scale data workflows reliable and repeatable. Andrey’s background migrating legacy stacks to k8s and managing terabyte-scale databases and billions of small files gives him a pragmatic edge when optimizing cost, performance and operational simplicity. Based in Prague, he also focuses on enabling teams through CI/CD best practices and mentorship, bringing a measured systems-engineering mindset to fast-moving AI projects.
11 years of coding experience
9 years of employment as a software developer
Бакалавр, Information Technology, Бакалавр, Information Technology at КазНТУ им Сатпаева
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