About This Architecture

Azure ETL pipeline orchestrating data ingestion from Dynamics 365, Azure DevOps, and SharePoint via API connectors into a unified processing layer. An Azure Function serves as the ETL orchestrator, triggered on schedule, pulling secrets from Key Vault and logging operations through Azure Monitor. Processed data lands in Azure Data Lake Storage Gen2 staging layer before being published to a SharePoint destination site. This architecture demonstrates serverless ETL best practices for multi-source Microsoft ecosystem integration with centralized secret management and observability. Fork this diagram on Diagrams.so to customize connectors, add transformation logic, or adapt for your resource group and subscription topology.

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How do I build a serverless ETL pipeline on Azure that integrates Dynamics 365, Azure DevOps, and SharePoint?

This diagram shows a timer-triggered Azure Function orchestrating API connectors for Dynamics 365, Azure DevOps, and SharePoint, with secrets from Key Vault and logging via Azure Monitor. Processed data stages in ADLS Gen2 before publishing to SharePoint, demonstrating secure, observable multi-source integration.