Azure Cloud Infrastructure Engineer Microsoft Contract at CSI Interfusion
Redmond, Washington, United States
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Summary
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Rockstar
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Top School
Christopher Canova is an Azure cloud infrastructure engineer with seven years of experience building scalable, production-grade systems for Microsoft via contractor roles. He specializes in Azure ML platform and GPU pool orchestration, having helped launch and rapidly provision OpenAI models (o1-preview and o1-mini) into Azure OpenAI Service and GitHub-integrated offerings within tight timelines. Comfortable across the stack, Christopher has driven adoption of Azure Data Studio hybrid notebooks for SQL migrations, automated ML deployment pipelines, and led cross-functional teams focused on cost, security, and availability. His background blends SDET rigor, CI/CD and DevOps automation with hands-on database work—contributing to the microsoft/azuredatastudio repo on SQL Server assessment and migration notebooks. Based in Redmond, he pairs pragmatic engineering with a knack for accelerating customer onboarding and turning experimental model deployments into reliable platform services.
7 years of coding experience
4 years of employment as a software developer
Bachelor's of Science Information Technology, Bachelor's of Science Information Technology at University of Phoenix
AA General Studies, AA General Studies at South Puget Sound Community College
Azure Data Studio is a data management and development tool with connectivity to popular cloud and on-premises databases. Azure Data Studio supports Windows, macOS, and Linux, with immediate capability to connect to Azure SQL and SQL Server. Browse the extension library for more database support options including MySQL, PostgreSQL, and MongoDB.
Role in this project:
Database Engineer / Database Administrator
Contributions:7 reviews, 10 commits, 13 PRs in 7 months
Contributions summary:Christopher made changes primarily within the context of SQL Server assessments, specifically related to the `sql-server-assessment.ipynb` notebook. These changes involved updating code to query assessment results, removing registered servers to avoid confusion, and updating links. The user also worked on notebooks related to offline migration to Azure SQL Database, focusing on data migration and connections. Additionally, the user addressed notebook variables and configuration for the SQL Server VM creation process.
Sample Repository with basic programming samples targeted for Software Development Engineers in Test (SDET) or novice programmers.
Contributions:4 PRs, 51 pushes, 10 branches in 5 years 4 months
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Christopher Canova - Azure Cloud Infrastructure Engineer Microsoft Contract at CSI Interfusion