Patrick Clay
Software Engineer at Google
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolPatrick Clay is a software engineer with 11 years of experience building cloud-native data and backend systems, currently at Google in Seattle. He specializes in Hadoop and Spark integrations with Google Cloud, contributing to high-profile open-source projects like the Dataproc hadoop-connectors and the Spark–BigQuery connector to improve credentials management, NUMERIC type support, and user-facing examples. His work spans backend development, DevOps-style initialization actions, and cluster customization—making deployments of Dataproc, Datalab, and Cloud SQL Proxy smoother for production workloads. A Brown University Math and Computer Science graduate, he brings strong engineering fundamentals and a history of internships at Microsoft and TripAdvisor. Colleagues would describe him as detail-oriented in configuration and testing, with a knack for refactoring credential and initialization code that quietly reduces operational friction.
11 years of coding experience
Bachelor of Science (BS) Mathematics and Computer Science, Bachelor of Science (BS) Mathematics and Computer Science at Brown University
Github Skills (27)
google-cloud-platform10
spark10
bigquery10
google-cloud-dataproc10
cloud-computing10
data-engineering10
configuration-management10
bash10
hadoop10
java10
gcp10
scala10
javas10
apache-spark9
dockers9
Programming languages (7)
Github contributions (5)
GoogleCloudDataproc/hadoop-connectors
Aug 2014 - Oct 2019
Libraries and tools for interoperability between Hadoop-related open-source software and Google Cloud Platform.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:44 commits, 18 PRs, 9 pushes in 5 years 3 months
Contributions summary:Patrick primarily contributed to refactoring and modifying configurations related to Hadoop credentials within the `googleclouddataproc/hadoop-connectors` repository. Their initial commit focused on refactoring the `HadoopCredentialConfiguration` in preparation for integrating `StormCredentialConfiguration`. Subsequent commits involved adding tests and implementing an `EntriesBuilder` for `EntriesCredentialConfiguration`. The changes demonstrate expertise in configuring and managing credentials within the context of Hadoop and Google Cloud Platform integration.
hadoop-filesystemgoogle-cloud-platformbigqueryhadoop-hcfsinteroperability
GoogleCloudDataproc/initialization-actions
Dec 2015 - Jun 2018
Run in all nodes of your cluster before the cluster starts - lets you customize your cluster
Role in this project:Cloud Engineer & DevOps Engineer
Cloud Engineer & DevOps EngineerContributions:13 commits, 31 PRs, 15 pushes in 2 years 6 months
Contributions summary:Patrick focused on enhancing the Google Cloud Dataproc initialization actions repository. They added initialization actions for Google Cloud Datalab and Cloud SQL Proxy, enabling easier deployment and configuration of these tools within Dataproc clusters. Their work included updating and refactoring existing initialization scripts, such as those for Zeppelin, and optimizing configurations to support features like Spark packages and improved memory management, streamlining the user experience for data processing and analysis tasks.
nodesgoogle-cloud-dataprockubernetescustomizeterraform
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.