Boaz Leskes
Founding Engineer at MotherDuck
Amsterdam, North Holland, Netherlands
Summary
🤩
Rockstar🎓
Top SchoolBoaz Leskes is a founding engineer and seasoned distributed-systems architect with 13+ years of experience building resilient, production-grade cloud platforms and teams. He led core architecture for Elastic Cloud—shaping consensus algorithms, sequence numbers, cross-cluster replication and Kubernetes operator design—and later helped launch MotherDuck, applying that expertise to new cloud-native OLAP systems. Comfortable from low-level C++ and performance work to high-level SaaS design and product-led engineering, he blends hands-on coding (contributions to DuckDB and the official Elasticsearch Python client) with strategic vision. He also founded and grew engineering at Buzzcapture and authored the original Elasticsearch JSON UI (Sense/Console), a hint at his taste for pragmatic developer-facing tools. Based in Amsterdam, he pairs academic training in computation and logic with a track record of turning research-grade distributed concepts into reliable commercial services.
13 years of coding experience
20 years of employment as a software developer
BSc. Computer Science & Mathematics, BSc. Computer Science & Mathematics at Tel Aviv UniversityMA Computational Science, MA Computational Science at University of Amsterdam
Stackoverflow
25,719reputation
3.3mreached
20answers
39questions
database
top-5%
Github Skills (29)
c-language10
python10
clientside10
api-design10
amazon-elasticsearch10
databases10
searching10
elasticsearchquery10
aws-elasticsearch10
sql10
parquet10
elasticsearch10
webclient10
cprogramming-language10
relational-databases10
Programming languages (11)
Github contributions (5)
duckdb/duckdb
Jun 2022 - Nov 2022
DuckDB is an analytical in-process SQL database management system
Role in this project:
Back-end Developer
Back-end DeveloperContributions:24 reviews, 50 commits, 19 PRs in 4 months
Contributions summary:Boaz contributed to the DuckDB codebase by merging updates from the master branch. The code changes indicate interactions with the `yyjson` extension, suggesting work on JSON-related functionalities. Further, the user addressed issues related to profiling, and also contributed to parquet column writer, improving performance and string dictionary encoding.
management-systemanalyticsduckdbmysqlembedded-database
elastic/elasticsearch-py
Oct 2013 - Oct 2013
Official Python client for Elasticsearch
Role in this project:Back-end Developer
Back-end DeveloperContributions:6 commits in 22 days
Contributions summary:Boaz primarily contributed to the development and maintenance of the Elasticsearch Python client library. They focused on updating and adding APIs within the client, including the `get_field_mapping` API. The user also made changes to the existing API methods, such as `get_source` and `get_template`, improving their functionality. Furthermore, they updated the URLs in the documentation to reflect the new website layout.
pythonclient-libraryelasticelasticsearchsearch
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