Zisis Flokas is a Principal Data Platform Engineer with eight years of experience building scalable data and ML platforms at LIBRA AI Technologies from hands-on data engineering to current platform leadership. He specializes in Big Data processing, orchestration, and applying MLOps to bridge models into production, while championing infrastructure-as-code and GitOps to create resilient CI/CD foundations. With an MS in Data & Web Science and a BS in Computer Science, he combines academic grounding with practical delivery across data pipelines, model deployment, and platform automation. Based in Thessaloniki, he’s known for pragmatic, purpose-fit solutions and a curiosity for orchestration internals that informs smarter, cost-conscious platform design.
8 years of coding experience
5 years of employment as a software developer
Master of Science - MS Data & Web Science, Master of Science - MS Data & Web Science at Aristotle University of Thessaloniki (AUTH)
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at University of Piraeus
High School, High School at Zanneio Experimental School
A simple Python script that consumes event data from EventStreams service of Wikipedia Recent Changes and constructs events in JSON format that are being sent to a Kafka topic.
Contributions:12 commits, 2 PRs, 8 pushes in 1 year 10 months
eventspythonconsumeskafka-topicstreaming
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