Mahdi Dibaiee is a Senior Software Engineer based in Dublin with 11 years building scalable, production data and platform systems across startups and fast-growing SaaS companies. He specializes in real-time data streaming, distributed systems and developer experience—shipping infrastructure for DataOps at Estuary and building platform-level tooling, canary deployments and observability at Personio and AYLIEN. A pragmatic polyglot, he’s contributed to high-profile open source projects like Airbyte by improving connectors, testing and logging, and he brings low-level and functional-programming sensibilities to large-scale engineering problems. Mahdi pairs a master’s in Cognitive Science with deep interest in mathematics and philosophy, which informs his focus on robust, well-reasoned system design and developer ergonomics.
11 years of coding experience
9 years of employment as a software developer
Bachelors, Computer Software Engineering, Bachelors, Computer Software Engineering at University of Science and Culture
Master's degree, Cognitive Science, Master's degree, Cognitive Science at University College Dublin
Open-source data movement for ELT pipelines and AI agents — from APIs, databases & files to warehouses, lakes, and AI applications. Both self-hosted and Cloud.
Role in this project:
Data Engineer
Contributions:5 reviews, 11 commits, 10 PRs in 8 months
Contributions summary:Mahdi contributed to the Airbyte data integration platform by modifying and creating connectors. They addressed issues in existing connectors like Google Sheets and Facebook Marketing, adding functionality such as row IDs and page size configuration. Additionally, they refactored code, improved testing, and ensured proper logging practices. Their contributions focused on enhancing data extraction and transformation processes within the Airbyte ecosystem.
Contributions:34 PRs, 249 pushes, 30 branches in 4 months
integratebolt
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