Frankie D
Azure Solutions Architect | Platform Engineering | Cloud Consulting
This site serves as a technical portfolio to document projects, patterns, and experiments that demonstrate how modern Azure platforms are designed, built, and evolved in real environments. It is also my personal engineering playground, where I spend my spare time building, testing, and refining the Azure architectures and new technologies I enjoy.
In my professional time, I help organizations design and implement Azure platforms that balance security, scalability, and delivery speed. My background spans hands-on engineering, platform ownership, and cross-team architecture, allowing me to bridge gaps between development, operations, security, and leadership. I specialize in identity-first cloud architecture, infrastructure automation, data integration, and operational maturity.
Current Project Focus
What I am building now
I am currently building and demoing AI CAF framework patterns, validating Foundry Agents and MCP-based tooling hosted as Azure Container Apps, and deploying a CAF-based Fabric landing zone aligned to emerging Fabric IQ technologies.
Tech in active rotation: Azure AI Foundry, MCP, Azure Container Apps, Terraform, Azure Functions, Azure Static Web Apps, Microsoft Fabric.
Solution architecture portfolio coverage
Across the project set, I use real implementations to demo and test architecture decisions around landing zones, identity-first security, deployment automation, reliability, observability, and AI-enabled application design on Azure.
Architecture themes: Azure CAF, platform foundations, AI app integration, repeatable IaC delivery, and operational governance at production scale.
Focus Areas
- Cloud-Native Architecture & Platform Engineering (Azure-first)
- Infrastructure as Code & Environment Automation (Terraform, Bicep)
- Secure Identity, Networking & Governance at Scale (Entra ID, Private Access)
- Data Integration, ETL/ELT & Event-Driven Workloads (Azure Data Factory, Storage)
- Observability, Reliability & Cost Optimization for Enterprise Platforms
- AI-Enabled Platforms & Automation (MLOps-adjacent, tooling-focused)
Azure Certifications & Architectural Coverage
Across these certifications, a consistent emphasis is placed on identity-first security, Entra ID governance, least-privilege access models, and secure-by-default platform design.
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Azure Solutions Architect Expert
Provides end-to-end architectural coverage across identity, networking, compute, data, and governance. Emphasizes designing secure, scalable Azure platforms aligned to business objectives, regulatory requirements, and long-term operational maturity. Common focus areas include hub-and-spoke networking, landing zone design, subscription strategy, identity boundaries, and cross-team architecture alignment. -
Azure DevOps Engineer Expert
Focuses on building and evolving CI/CD platforms that support both application delivery and infrastructure automation. Enables standardized pipelines, Infrastructure as Code workflows, environment promotion strategies, and collaboration between development, security, and operations teams. Frequently applied to enterprise modernization efforts and platform consistency at scale. -
Azure AI Engineer
Covers the integration of AI services into real-world systems, with an emphasis on responsible deployment, monitoring, and operationalization. Applied in scenarios where AI augments existing platforms through automation, decision support, or intelligent workflows rather than standalone research projects. Supports collaboration between data, engineering, and business stakeholders. -
Azure Administrator Associate
Grounds architectural design in day-to-day operational realities including monitoring, cost management, security posture, and reliability. Provides practical insight into how Azure platforms behave in production, informing better architectural tradeoffs and more realistic delivery timelines. -
Azure Developer Associate
Establishes strong application lifecycle and SDLC fundamentals, enabling effective collaboration with development teams. Supports architect-to-developer alignment when designing cloud-native systems, APIs, and service integrations, ensuring platforms are both buildable and maintainable.