Ron Barabash
VP Of Technology at Yotpo
Israel
Summary
👤
Senior🎓
Top SchoolRon Barabash is a technology leader with 11 years of hands-on experience building data platforms and ML infrastructure, now serving as VP of Technology at Yotpo. He progressed from full-stack and big data engineer roles to Chief Architect, demonstrating deep expertise in distributed systems, Apache Kafka, Spark-based ETL, SQL, and NLP. Ron has driven production streaming capabilities and Kafka-Parquet integrations in an open-source ETL framework (metorikku), blending pragmatic engineering with architectural vision. Based in Israel and holding a BSc in Computer Science from Ben-Gurion University, he pairs strong object-oriented design and multithreading skills with a track record of shipping reliable, scalable data pipelines. A detail that sets him apart is his continuity at Yotpo—scaling responsibilities across multiple technical domains within the same company—reflecting both technical breadth and institutional impact.
11 years of coding experience
13 years of employment as a software developer
Bsc Computer Science, Bsc Computer Science at Ben-Gurion University of the Negev
Stackoverflow
21reputation
2kreached
0answers
1question
Github Skills (17)
data-stream10
apache-spark10
kafka10
scala10
etl10
stream10
data-streaming10
etl-framework10
stream-processing10
streaming-data10
streaming10
big-data9
sql9
parquet9
eclipse6
Programming languages (6)
Github contributions (5)
YotpoLtd/metorikku
Nov 2017 - Feb 2021
A simplified, lightweight ETL Framework based on Apache Spark
Role in this project:
Data Engineer
Data EngineerContributions:1 release, 12 reviews, 95 commits in 3 years 3 months
Contributions summary:Ron primarily contributed to the development and maintenance of an ETL framework based on Apache Spark. Their commits focus on version management, adding support for Kafka integration, and implementing streaming capabilities, specifically supporting structured streaming metrics. The user also added functionality for writing streaming data to Kafka and Parquet, showcasing an understanding of data pipeline design and integration with streaming technologies.
etl-pipelinesqlspark-sqlapachebig-data
YotpoLtd/scene-detector-demo
Apr 2020 - Oct 2020
Contributions:26 commits, 2 branches in 5 months
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