Claudiu Anghel-stanciu is a Data Architect with 11 years of experience designing scalable, distributed data systems and leading cross-functional engineering teams from Bucharest. He has driven data platform and MDM initiatives across industries—betting, automotive IoT, retail, and publishing—focusing on stability, cost efficiency and performant batch and streaming pipelines. Hands-on in both backend and DevOps, he contributed to the well-known Teradata Kylo data lake project by improving NiFi integration and email/configuration robustness, showing attention to operational detail. Claudiu pairs strong software engineering practices (testing, refactoring, shared libraries) with roadmap and stakeholder collaboration, and has mentored engineers through workshops and 1:1s. He holds an advanced control and real-time systems master’s and brings a systems-thinking background from PLC/SCADA engineering into modern data architecture. Notably, he’s built custom Python streaming frameworks and migrated platforms to multi-tenant, cost-optimized architectures.
11 years of coding experience
12 years of employment as a software developer
Master's Degree, Advanced control and real-time systems, Master's Degree, Advanced control and real-time systems at Universitatea „Politehnica” din București
Kylo is a data lake management software platform and framework for enabling scalable enterprise-class data lakes on big data technologies such as Teradata, Apache Spark and/or Hadoop. Kylo is licensed under Apache 2.0. Contributed by Teradata Inc.
Role in this project:
Back-end Developer & DevOps Engineer
Contributions:5 commits, 13 PRs, 17 comments in 3 months
Contributions summary:Claudiu contributed to Kylo, a data lake management platform, by implementing and fixing features related to NiFi and email service configurations. They added the ability to override NiFi versions within installation scripts. Furthermore, they modified the email service configuration, improving Gmail and Outlook account compatibility. Additionally, the user worked on standardizing and improving data processing logic related to the strip non-numeric function and Cloudera merge functionalities.
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