Amir Halatzi
Software Developer at Cato Networks
Rehovot, Center District, Israel
Summary
👤
Senior🎓
Top SchoolAmir Halatzi is a seasoned software developer with 11 years of experience building server-side and data platform solutions, currently contributing to Cato Networks from Rehovot, Israel. He specializes in microservices, high-availability designs, cloud-native PaaS/SaaS integrations and distributed data pipelines, having modernized CDC, Spark, Flink and Snowflake workflows at Yotpo. His background spans startups and scale-ups where he shipped production services on GKE, Kubernetes, Azure and Databricks, and helped bring Applitools’ Ultrafast Grid to production. An active contributor to the Metorikku ETL project, he has extended Spark-based UDFs and test coverage, reflecting a pragmatic focus on reliable data transformations. Known as a “jack of all trades,” Amir pairs hands-on engineering across languages (C#, Python, Node.js) with an eye for lean, cost-efficient architectures. He enjoys taking small-to-medium projects from proof-of-concept to production and often gravitates toward automation and self-service tooling that reduce operational overhead.
11 years of coding experience
12 years of employment as a software developer
B.Sc Information Systems Engineering, B.Sc Information Systems Engineering at Ben-Gurion University of the Negev
English, Hebrew
Stackoverflow
21reputation
362reached
0answers
2questions
Github Skills (10)
apache-spark10
scala10
sql9
scalatest8
big-data8
distributed-computing8
kubernetes6
prometheus6
high-availability6
promql6
Programming languages (12)
Github contributions (5)
YotpoLtd/metorikku
May 2021 - Jun 2022
A simplified, lightweight ETL Framework based on Apache Spark
Role in this project:
Backend Developer
Backend DeveloperContributions:1 release, 31 reviews, 44 commits in 1 year
Contributions summary:Amir primarily contributed to the `metorikku` project by implementing and testing new UDFs (User Defined Functions) within the ETL framework. They added the `RemoveDuplicates` UDF and included associated tests. Additionally, the user worked on updating the `AlignTables` UDF and included test cases for the `LoadIfExists` step. Their work demonstrates a focus on expanding the functionality of the ETL framework by adding new data transformation capabilities.
etl-pipelinesqlspark-sqlapachebig-data
torosent/caffe-opencv-keras
Jan 2017 - Feb 2023
Contributions:2 PRs in 6 years 1 month
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