Olga Kogan
Venture Partner at Emerge Ventures
Tel-Aviv, Tel-Aviv District, Israel
Summary
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Senior🎓
Top SchoolOlga Kogan is a venture partner and seasoned product-engineering leader with 11 years of experience building data- and AI-driven products and guiding early-stage founders from Tel Aviv. She combines hands-on backend engineering—demonstrated by reliability improvements to the popular open-source Redash project—with senior product leadership at AWS where she led DataSync from roadmap to launch. Olga has led R&D and growth teams in fintech, co-founded tech products and community initiatives supporting women in tech, and served as CTO and EIR building GenAI tooling. Equally comfortable mentoring founders and shipping technical infrastructure, she brings a practical blend of startup grit, enterprise product discipline, and a track record of turning complex data problems into dependable systems.
12 years of coding experience
10 years of employment as a software developer
Harvard Business SchoolBachelor of Science (B.Sc.), Computer Science, Bachelor of Science (B.Sc.), Computer Science at The Open University of Israel
English, Russian, Hebrew, Spanish, Italian
Github Skills (10)
databases10
database-administration10
admin10
python10
mysql10
analytics10
database10
query-optimization9
data-engineering8
postgresql4
Programming languages (3)
Github contributions (5)
getredash/redash
Aug 2014 - Jan 2016
Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:16 commits, 10 PRs, 3 comments in 1 year 4 months
Contributions summary:Olga's contributions primarily focused on improving the Redash backend by addressing database interactions and query execution. They implemented support for column types in MySQL, fixed an error related to query modification dates, and modified the system to separate queues for ad-hoc and scheduled queries. Additionally, they resolved an issue related to handling strings with non-standard characters and large numbers in the CSV generation process. These changes enhanced the reliability and efficiency of the data querying and exporting functionalities.
pythondatacompany-datavisualizebusiness-intelligence
olgakogan/redash
Feb 2015 - May 2015
Contributions:18 pushes, 2 branches in 2 months
queryvisualizedvisualizedashboardsdataset
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