Ryan Mcdowell
Director, Forward Deployed Engineering, Professional Services at Databricks
Austin, Texas, United States
Summary
🤩
Rockstar🎓
Top SchoolRyan Mcdowell is a seasoned data and engineering leader with 11 years of experience building and scaling cloud data platforms and professional services teams, currently directing Forward Deployed Engineering at Databricks. He spent the prior five years at Google leading the North America Data & Analytics practice, where he managed 100+ specialists to architect and deliver large-scale analytics and migration projects. Hands-on at his core, Ryan has a strong data engineering background—contributing UDFs and utilities to BigQuery-focused open-source tooling—and a knack for translating complex warehouse and migration edge cases into reliable production solutions. Based in Austin, he blends strategic team leadership with deep technical fluency across backend systems, Spark, and cloud orchestration. Collected from roles at Google, Databricks, and earlier software engineering work at Neuberger Berman, his profile reflects rare cross-functional experience in delivery, architecture, and developer-facing tooling.
11 years of coding experience
9 years of employment as a software developer
Bachelor of Science (B.S.) Computer Science, Bachelor of Science (B.S.) Computer Science at DePaul University
Stackoverflow
853reputation
36kreached
17answers
0questions
google-cloud-storage
top-5%
google-cloud-platform
top-5%
Github Skills (21)
apache-spark10
google-cloud-platform10
bigquery10
python10
data-warehouse10
data-analytics10
sql10
datamart10
testing9
data-engineering9
py9
google-cloud-storage9
teradata8
apache-beam6
google-cloud-pubsub6
Programming languages (5)
Github contributions (5)
GoogleCloudPlatform/professional-services
Dec 2017 - Jun 2022
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:
Backend Developer
Backend DeveloperContributions:8 reviews, 237 commits, 135 PRs in 4 years 6 months
Contributions summary:The user, danieldeleo, appears to be contributing to example code related to Cloud Composer. The commits focus on integrating and testing Spark-based average speed calculations within a Cloud Composer environment. The changes include modifying test scripts related to data analytics and integrating different branch changes.
gcpprofessionalgoogle-cloud-mlgoogledata-stream
GoogleCloudPlatform/bigquery-utils
Aug 2019 - Jun 2021
Useful scripts, udfs, views, and other utilities for migration and data warehouse operations in BigQuery.
Role in this project:Back-end Developer / Data Engineer
Back-end Developer / Data EngineerContributions:34 reviews, 30 commits, 65 PRs in 1 year 10 months
Contributions summary:Ryan primarily contributed to the creation and modification of User-Defined Functions (UDFs) within the BigQuery environment. Their work involved implementing functions such as `random_int`, `multiply_full_scale`, `random_value`, `INITCAP`, and `INSTR`. The contributions addressed both bug fixes and the addition of new utility functions, focused on extending the functionality of BigQuery for data warehousing and migration tasks. The user also made edits to existing functions like `decode3`, improving code quality and addressing edge cases.
warehouseudfsgoogle-cloud-platformsqlbigquery
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