Leo De Leon
Scottsdale, Arizona, United States
Summary
🤩
Rockstar🎓
Top SchoolLeo De Leon is a data-savvy finance and entrepreneurship professional with 8 years of experience bridging account management, financial operations, and cloud data engineering. Based in Scottsdale, he has contributed to high-impact Google Cloud open-source projects—improving BigQuery UDF testing, asynchronous build processes, and CI/CD for minified JS libraries while authoring Cloud Composer DAGs and PySpark transformations for production pipelines. His background combines an MBA focused on Indigenous Entrepreneurship and doctoral work in Innovation in Global Development, giving him uncommon expertise in mission-driven ventures and culturally informed business strategies. Comfortable in both technical and client-facing roles, he translates complex data workflows into reliable, scalable systems that support financial decision-making. Colleagues value his blend of operational rigor, open-source discipline, and entrepreneurial perspective.
8 years of coding experience
Doctor of Philosophy (PhD): Innovation in Global Development Candidate, Indigenous Entrepreneurship, Doctor of Philosophy (PhD): Innovation in Global Development Candidate, Indigenous Entrepreneurship at Arizona State UniversityMaster of Business Administration (MBA), Indigenous Entrepreneurship/Entrepreneurial Studies, Master of Business Administration (MBA), Indigenous Entrepreneurship/Entrepreneurial Studies at Gonzaga UniversityInternational Business, International Business at The American University of Rome
English, Italian, Spanish, Japanese
Github Skills (22)
apache-airflow10
bigquery10
data-pipelines10
python10
testing10
test-framework10
pyspark10
bash10
cicd10
gcp10
google-cloud-storage10
sql10
data-pipeline10
data-engineering9
google-cloud-platform9
Programming languages (10)
Github contributions (5)
GoogleCloudPlatform/bigquery-utils
Oct 2019 - Oct 2022
Useful scripts, udfs, views, and other utilities for migration and data warehouse operations in BigQuery.
Role in this project:
DevOps & Data Engineer
DevOps & Data EngineerContributions:617 reviews, 30 commits, 215 PRs in 3 years 1 month
Contributions summary:Leo primarily contributed to improving the build and deployment processes, as well as the UDF testing framework. They implemented an asynchronous build process for testing UDFs and added logic to create test datasets specific to each commit. Additionally, the user integrated Dataform for UDF testing and deployment, reflecting a shift towards more robust and automated testing practices. The user also contributed to the CI/CD process for hosting minified JavaScript libraries.
warehouseudfsgoogle-cloud-platformsqlbigquery
GoogleCloudPlatform/professional-services
Jun 2018 - Apr 2019
Common solutions and tools developed by Google Cloud's Professional Services team. This repository and its contents are not an officially supported Google product.
Role in this project:Data Engineer
Data EngineerContributions:8 reviews, 15 commits, 12 PRs in 9 months
Contributions summary:Leo contributed to example Cloud Composer DAGs, showcasing data pipeline implementation on Google Cloud Platform. Their work involved creating and configuring Apache Airflow DAGs to orchestrate data processing tasks, including data transformation using PySpark, loading data into BigQuery, and managing Dataproc clusters. Furthermore, the commits demonstrate proficiency in using Google Cloud Storage and integrating with Identity-Aware Proxy for secure API access.
gcpprofessionalgoogle-cloud-mlgoogledata-stream
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.