Assaf Liebstein
Engineering Team Lead at monday.com
Israel
Summary
👤
Senior🎓
Top SchoolAssaf Liebstein is a hands-on engineering leader with nine years of experience building data platforms and developer experience tooling, now serving as an Engineering Team Lead at monday.com after several formative years at Yotpo. He progressed from full-stack developer to platform lead, delivering self-service microservice infra and event-driven ETL capabilities that increased productivity for hundreds of engineers. As a founding engineer at a stealth startup he spanned backend, frontend, infra and analytics, shipping weekly customer-facing value and working directly with users to shape MVPs. Technically fluent in Python, TypeScript, Spark, Kafka, Flink, Kubernetes, Terraform and AWS, he also contributes to open-source ETL tooling such as Metorikku, improving connectors and Docker/Hive support. Known for turning complex distributed-data problems into simple, scalable abstractions, he balances long-term architectural thinking with the discipline of rapid iteration. Based in Israel, he combines a CS degree with a curious, cross-disciplinary background that includes geology, giving him a pragmatic systems-thinking perspective.
9 years of coding experience
8 years of employment as a software developer
Bachelor of Science (BSc) Computer Science, Bachelor of Science (BSc) Computer Science at Ben-Gurion University of the Negev
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (16)
etl10
apache-spark10
jdbc10
scala10
elasticsearch9
dockers9
amazon-elasticsearch9
elasticsearch-api9
aws-elasticsearch9
elasticsearchquery9
docker9
hive9
sbt8
big-data8
sql7
Programming languages (7)
Github contributions (5)
YotpoLtd/metorikku
Sep 2018 - Dec 2022
A simplified, lightweight ETL Framework based on Apache Spark
Role in this project:
Back-end Developer / DevOps Engineer
Back-end Developer / DevOps EngineerContributions:14 releases, 55 reviews, 132 commits in 4 years 3 months
Contributions summary:Assaf primarily contributed to the ETL framework's functionality and infrastructure. They added JDBC drivers to the project's dependencies and fixed issues related to partition arguments in JDBCQueryWriter. They also implemented a new Elasticsearch output writer and improved the Docker configuration for the Spark environment, including support for the Hive metastore. Furthermore, the user introduced a periodic job feature and made improvements to Hudi output writer.
etl-pipelinesqlspark-sqlapachebig-data
YotpoLtd/spark-lineage
Dec 2020 - Jan 2021
Spark SQL listener to record lineage information
Contributions:2 reviews, 3 commits, 1 PR in 1 month
bigdatalineagesqlspark-sqlspark-ml
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