Doron Porat
CEO And Co-founder at Stealth Startup
Tel-Aviv District, Israel
Summary
👤
Senior🎓
Top SchoolDoron Porat is a Data & AI Strategist with over 15 years of experience building production-grade data platforms and leading platform engineering teams, most recently shaping data and infrastructure strategy at Eon.io. He has held senior leadership roles at Yotpo—driving developer experience, event-driven architectures, and an internal dbt-based modeling product—and co-founded Lakeway, bringing entrepreneurial rigor to platform delivery. An active community builder, Doron co-hosts The Data Swamp/Data Builders podcasts, speaks at conferences like AWS Summit TLV, and contributes to open-source tooling such as the Metorikku ETL framework (notably improving Redshift and Elasticsearch writers). He combines hands-on engineering, people leadership, and a knack for translating complex data problems into pragmatic, infra-centric solutions from his base in Tel Aviv.
8 years of coding experience
7 years of employment as a software developer
Bachelor of Science - BS Industrial Engineering, Bachelor of Science - BS Industrial Engineering at Ben-Gurion University of the Negev
Github Skills (19)
aws-redshift10
apache-spark10
data-pipelines10
big-data10
scala10
etl10
amazon-redshift10
data-pipeline10
amazon-elasticsearch9
testing9
aws-elasticsearch9
elasticsearchquery9
elasticsearch-api9
elasticsearch9
sql8
Programming languages (2)
Github contributions (2)
YotpoLtd/metorikku
Dec 2017 - Jun 2021
A simplified, lightweight ETL Framework based on Apache Spark
Role in this project:
Data Engineer
Data EngineerContributions:21 reviews, 21 commits, 42 PRs in 3 years 7 months
Contributions summary:Doron primarily focused on the `RedshiftOutputWriter`, enhancing its functionality by adding support for maximum string size, enabling default values for parameters, and fixing metadata for varchar columns. Their contributions extended to improving the Elasticsearch writer, including refactoring e2e tests, and resolving test failures related to the project's testing utilities. They also addressed the build configurations, supporting deequ for Spark3, and managed versioning updates.
etl-pipelinesqlspark-sqlapachebig-data
apache/airflow
Apr 2019 - Apr 2019
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Contributions:1 comment in 1 day
monitorpythonschedulerapacheprogrammatically
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