Patrick Druley
Senior Solution Engineer at DataHub
Ohio, United States
Summary
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Rockstar🎓
Top SchoolPatrick Druley is a Senior Solution Engineer with a decade of experience designing data-driven solutions and helping customers operationalize metadata, analytics, and real-time systems. He has shaped GTM and pre-sales across startups and scale-ups—working at Confluent, Rockset (through its OpenAI transition), Tinybird, and DataHub—translating complex requirements into deployable architectures. Hands-on with event streaming and real-time pipelines, he contributed to Confluent demo scenes by configuring Kafka producers, topics, ACLs, and Connect/ksqlDB integrations to showcase industry use cases. Based in Ohio, he blends deep technical grounding from a Computer Science degree with practical customer empathy built through founding GTM roles and transition projects. Known as a “nerd dad,” he balances curiosity and clarity to make sustainable, maintainable solutions that scale. Colleagues rely on him to bridge engineering, product, and commercial needs while keeping implementations pragmatic.
10 years of coding experience
11 years of employment as a software developer
Bachelor's Degree Computer Science, Bachelor's Degree Computer Science at University of CincinnatiHigh School, High School at Tippecanoe High School
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (25)
kafka-connect10
kafka10
ksqldb10
data-pipeline10
data-integration10
scripting9
shell9
script9
sh9
automations8
automation8
api6
apidoc6
javas5
java5
Programming languages (7)
Github contributions (5)
confluentinc/demo-scene
Jun 2019 - Nov 2021
Scripts and samples to support Confluent Demos, Talks, and Blogs. Not all of the examples in this repository are kept up to date. For automated tutorials and QA'd code, see https://github.com/confluentinc/tutorials/
Role in this project:
Data Engineer
Data EngineerContributions:14 commits, 9 PRs, 1 comment in 2 years 4 months
Contributions summary:Patrick primarily contributed to setting up and configuring data pipelines and data producers for various industry-specific demo themes within the Confluent ecosystem. Their work involved modifying producer scripts to generate and send data, often leveraging Kafka and related technologies like Kafka Connect and ksqlDB. They also configured topics and access control lists within Confluent Cloud. The focus was on integrating data sources and demonstrating the usage of Kafka for different use cases.
roughkafka-connectconfluentincsyslogelasticsearch
pdruley/kafka
Aug 2021 - Feb 2025
Mirror of Apache Kafka
Contributions:6 pushes, 3 branches in 3 years 7 months
kafka-streamsapache-kafkaksqldbstreamsapache
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