Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world. 
 
Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture. 

​​Within Azure Data, the data integration team builds data gravity on the Microsoft Cloud. Massive volumes of data are generated – not just from transactional systems of record, but also from the world around us.  Our data integration products – Azure Data Factory and Power Query make it easy for customers to bring in, clean, shape, and join data, to extract intelligence.​ 

​​Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture. 
 
We’re the team that developed the Mashup Engine (M) and Power Query. We already ship monthly to millions of users across Excel, Power/Pro BI, Flow, and PowerApps; but in many ways we’re just getting started. We’re building new services, experiences, and engine capabilities that will broaden the reach of our technologies to several new areas – data “intelligence”, large-scale data analytics, and automated data integration workflows. We plan to use example-based interaction, machine learning, and innovative visualization to make data access and transformation even more intuitive for non-technical users. 

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We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served.