Yazan Alkhoury
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolYazan Alkhoury is a versatile engineer with a decade of experience bridging software, hardware, and developer relations, currently based in New York. He has shipped production data pipelines and contributed to prominent open-source projects like ethereum-etl-airflow, improving Airflow DAG flexibility and blockchain data processing for BigQuery workflows. His background spans electrical engineering and robotics—winning capstone and design awards—and pragmatic startup work from prototyping wearable/motion systems to driving product-market validation. Comfortable moving between low-level PCB design and cloud data infrastructure, he thrives on unconventional projects aimed at long-term societal impact such as space, cybernetics, and free education. Colleagues would note his blend of hands-on engineering, community building in blockchain ecosystems, and a contrarian drive to rethink norms.
10 years of coding experience
7 years of employment as a software developer
Bachelor of Engineering Electrical Engineering, Bachelor of Engineering Electrical Engineering at Concordia UniversityHigh School Diploma, High School Diploma at ISG-Dammam
English, Arabic, French
Github Skills (10)
etl10
apache-airflow10
python10
data-engineering10
gcp9
google-cloud-platform9
data-analytics8
blockchain8
sql7
ethereum7
Programming languages (25)
Github contributions (5)
blockchain-etl/ethereum-etl-airflow
Nov 2018 - Aug 2021
Airflow DAGs for exporting, loading, and parsing the Ethereum blockchain data. How to get any Ethereum smart contract into BigQuery https://towardsdatascience.com/how-to-get-any-ethereum-smart-contract-into-bigquery-in-8-mins-bab5db1fdeee
Role in this project:
Data Engineer
Data EngineerContributions:22 commits, 3 PRs, 2 comments in 2 years 9 months
Contributions summary:Yazan primarily contributed to the infrastructure and data pipeline aspects of the project. Their commits involved modifying Airflow DAGs to incorporate new environment variables and refactoring existing ones to enhance flexibility and maintainability. Key changes included making dataset names configurable and splitting extra parameters for trace exports, thereby improving the project's scalability and adaptability to different environments. Additionally, the user updated SQL files used in data processing and verification stages.
gcpethereumgoogle-cloud-platformcontractweb3
celestiaorg/docs
Mar 2022 - Jan 2023
Celestia Documentation Site
Contributions:398 reviews, 1105 commits, 464 PRs in 10 months
celestiadocumentation-sitedevrel
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