Eyal Ivri is a Cloud Solutions Architect and Big Data specialist with 11 years of hands-on experience building and advising data platforms across on-premise and cloud environments (AWS, GCP, Azure). He combines deep engineering skills in Scala, Python, Java, C# and JavaScript with extensive production experience in Hadoop, Spark, Kafka and a variety of NoSQL/NewSQL systems. As a former Big Data Senior Consultant who led a practice and taught courses and workshops, he excels at translating complex business needs into maintainable, scalable data architectures. At ResearchGate and now Google he has focused on making large-scale data systems reliable and performant in real-world products. A quick self-learner and polyglot coder, he often bridges gaps between data engineering, platform architecture and developer enablement. Based in Berlin, he brings a rare mix of consulting breadth and implementation depth that helps teams move from proofs-of-concept to production.
11 years of coding experience
6 years of employment as a software developer
Behavioral BA, Psychology, Sociology, Behavioral BA, Psychology, Sociology at The Academic College of Tel-Aviv, Yaffo
Software Development, Computers, Graduated with honors, Software Development, Computers, Graduated with honors at Sela College
Tag Engine lets you create bulk tags in Google Cloud's Data Catalog and keeps them up-to-date. Tag Engine is licensed under the Apache 2 license terms. Please make sure to read, understand and agree to the terms of the LICENSE and CONTRIBUTING files before proceeding.
Contributions:34 pushes, 3 branches in 2 years 1 month
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