Sherif Nada is an engineering leader with 11 years of experience building data-intensive systems, currently bootstrapping Fractional AI's EMEA presence after leading engineering at Sirdab. He was a founding engineer and then Senior Engineering Manager at Airbyte, where he created the connectors org and helped scale the open-source data integration platform to thousands of users and 1,000+ integrations. Sherif combines hands-on back-end and data engineering skills—contributing significant fixes and core worker components to the high-profile airbytehq repos—with product-side leadership in integrations, devtools, and AI workflows. His background spans petabyte-scale data systems, real-time stats engines, and practical open-source contributions, including work on connector-builder tooling and sync workers. Comfortable as both player-coach and architect, he has a track record of improving reliability and shipping developer-facing infrastructure at scale. Based in the UAE, he blends startup grit with enterprise-grade engineering discipline and a knack for turning API docs and automation into production connectors.
11 years of coding experience
9 years of employment as a software developer
Computer Science, Computer Science at Bradfield School of Computer Science
Bachelor of Arts (B.A.) Computer Science Mathematics, Bachelor of Arts (B.A.) Computer Science Mathematics at Middlebury College
High School Diploma, High School Diploma at Dhahran Ahliyya Schools
The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.
Role in this project:
Back-end Developer & Data Engineer
Contributions:9 releases, 3779 reviews, 634 commits in 2 years 6 months
Contributions summary:Sherif's commits primarily focus on developing and improving the data integration platform. They contributed to the creation of core worker components, including the implementation of interfaces, status tracking, and the introduction of Singer-based workers for data ingestion. Additionally, the user was involved in the development of a sync worker, demonstrating an understanding of data pipeline orchestration and handling data from various sources.
The platform that powers Airbyte. Please file issues in https://github.com/airbytehq/airbyte
Role in this project:
Back-end Developer
Contributions:1 review, 8 commits, 1 branch in 15 days
Contributions summary:Sherif contributed to the Airbyte platform by addressing bugs, improving code quality, and refactoring existing code. Their work includes fixing issues in the connector-builder-server, ignoring linting errors related to normalization CDK models, unpinning the CDK version in normalization builds, and tolerating empty documentation URLs in connector specs. Additionally, they made changes to the UI component for the connector builder.
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.