Ryan Chynoweth
Data And AI Practice Lead
Bellevue, Washington, United States
Summary
👤
Senior🎓
Top SchoolRyan Chynoweth is a Data and AI practice lead with nine years of hands-on experience architecting cloud-native analytics, ML, and data platform solutions across Azure, Databricks, and Synapse. He has led large-scale migrations (including a 56TB Netezza-to-Synapse lift processing hundreds of millions of records daily), built production ML systems from LSTM and CNN models to NLP pipelines, and helped scale field engineering teams for strategic retail and consumer customers. Comfortable across DataOps/MLOps, streaming, and embedded AI, he combines pre-sales and delivery leadership with deep technical execution—often shipping solutions that blend Databricks, Delta Lake, Kafka/Event Hubs, and Azure services. Based in Bellevue, WA, Ryan is also an active public technologist with multiple GitHub profiles and a Medium presence, reflecting a practice-minded commitment to sharing engineering patterns and reusable code.
9 years of coding experience
4 years of employment as a software developer
Bachelor's degree Mathematics, Bachelor's degree Mathematics at Pacific Lutheran University
English
Github Skills (11)
azure-databricks10
databricks9
delta8
pandas-dataframe7
machine-learning7
deep-learning6
python6
rust5
pandas5
bybit2
delta-lake2
Programming languages (4)
Github contributions (5)
ryanchynoweth44/AzureMachineLearningWithDatabricks
Dec 2018 - Oct 2020
This repository highlights the workflow and ease of use of training machine learning or deep learning models using Azure Databricks. Then deploying those models on both the AML Service and Azure Databricks.
Contributions:13 commits, 29 pushes, 1 branch in 1 year 10 months
azure-databricksdeep-learningmachine-learning
ryanchynoweth44/DatabricksContent
Dec 2018 - Oct 2022
Examples surrounding Databricks.
Contributions:96 commits, 1 PR, 91 pushes in 3 years 11 months
databricks
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