Edward Wang

San Francisco Bay Area United States

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Summary

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Rockstar

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Top School

Edward Wang is a Data and Software Engineer based in the San Francisco Bay Area with eight years of experience building data-driven systems using Python, AWS, SQL, and Redshift. He blends backend engineering and DevOps sensibilities to deliver reliable ETL pipelines and scalable analytics infrastructure, with a strong emphasis on testing and code quality. Edward has contributed bug fixes and user-facing improvements to the widely used Apache Airflow project, demonstrating practical open-source impact on workflow reliability and UX. A UCLA Mathematics of Computation graduate, he brings mathematical rigor to data engineering problems and a knack for catching edge cases (for example, fixing divide-by-zero retry issues). Colleagues rely on him for pragmatic solutions that bridge data models, orchestration, and operational stability.

7 years of coding experience

Bachelor of Science - BS, Mathematics of Computation, Bachelor of Science - BS, Mathematics of Computation at University of California, Los Angeles

Github Skills (16)

testing10

debug10

orchestration10

workflow-engine10

orchestra10

data-pipelines10

pytest10

data-pipeline10

python10

airflow10

data-integration10

data-engineer10

front-end-development7

javascript7

cd6

Programming languages (2)

GoPython

Github contributions (5)

apache/airflow

Jul 2021 - Jul 2022

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

Role in this project:

Backend & DevOps Engineer

Contributions:25 reviews, 11 PRs, 54 comments in 1 year

Contributions summary:Edward primarily contributed to bug fixes and minor feature enhancements within the Apache Airflow project. Their work included addressing issues related to retry mechanisms, specifically fixing a divide-by-zero error and patching retry delay tests. The user also made improvements to the UI, such as navigating directly to DAGs from the search typeahead list and fixing assertions in tests. These contributions demonstrate a focus on code quality, testing, and improving user experience.

monitorpythonschedulerapacheprogrammatically

edwardwang888/airflow

Jul 2021 - May 2023

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

Contributions:44 pushes, 12 branches in 1 year 10 months

monitorapachedata-engineeringprogrammaticallyapache-airflow

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