logologo
AboutResumeProjectsField Notes

© 2026 Beretests. All rights reserved.

← Back to projects
Power PlatformProfessional case study

Professional project

Secure Dataverse-to-Azure Integration

Power Platform engineer

Implemented a secure integration pattern for synchronous Dataverse operations that need Azure-hosted secrets and services without embedding credentials in plugins or client applications.

DataversePower Platform Custom APIC#Managed IdentityAzure Key VaultAzure FunctionsAzure DevOpsPower Platform ALM
Confidentiality: This professional case study omits organization-specific endpoints, identities, certificates, environment names and source code.

What the work delivered

01

Establishes a reusable identity-based integration pattern for Dataverse extensions

02

Keeps environment-specific values outside source code and solution components

03

Supports governed deployment through Power Platform and Azure DevOps ALM pipelines

Goals

  • Use managed identity instead of stored application credentials
  • Return synchronous results through a Dataverse Custom API
  • Move the solution safely across development, test and production environments

Key design decisions

  • Registered a C# plug-in package as the Custom API message handler
  • Used Azure Key Vault as the protected secret source
  • Kept an Azure Function integration option for workloads better suited to an external service boundary
  • Parameterised connection references and environment-specific configuration for deployment

Challenges and solutions

Production identity binding

Worked through assembly signing and certificate requirements so the plug-in package could use a production-appropriate managed identity binding.

Environment portability

Separated deployable solution components from environment-specific values and documented the configuration required after import.

Key learnings

  • Designing synchronous Dataverse integrations around platform execution constraints
  • Applying managed identity and certificate requirements to Power Platform extensions
  • Building ALM processes that account for both Dataverse and Azure resources