Matthew Gotteiner is a Senior Program Manager at Microsoft with six years of experience building AI-enhanced search and retrieval platforms, currently shaping Azure Cognitive Search. He began as an engineer on Azure Search and brings hands-on expertise in indexing, ACL-enabled data pipelines, and integrating Data Lake and Blob storage for secure, scalable search. Based in Seattle and educated at Purdue University, he blends deep backend engineering experience with program-level leadership to drive reliable AI infrastructure. Notably, his open-source contributions include implementing Azure Search .NET indexer samples that help teams configure secure indexing from ADLS Gen2 and blob stores—work that bridges product, developer experience, and enterprise security.
6 years of coding experience
7 years of employment as a software developer
BS, Computer Science, BS, Computer Science at Purdue University
Contributions:8 reviews, 39 commits, 19 PRs in 1 year 2 months
Contributions summary:Matthew implemented and maintained features related to Azure Search indexers, focusing on indexing data from Azure Data Lake Storage Gen2 and blob storage. They developed code for setting up and configuring indexers with ACL support, including data lake and blob indexers. The contributions involve code modifications to upload sample data, apply access control lists (ACLs), and create search resources such as indexes, data sources, and indexers. These changes are essential for enabling secure and efficient data indexing within the Azure Search service.
This repository is for active development of the Azure SDK for .NET. For consumers of the SDK we recommend visiting our public developer docs at https://docs.microsoft.com/en-us/dotnet/azure/ or our versioned developer docs at https://azure.github.io/azure-sdk-for-net.
Contributions:34 pushes, 4 branches in 1 year 3 months
dotnetversionedazure-functionssdkconsumers
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Matthew Gotteiner - Senior Program Manager at Microsoft