Cloud & Data Modernization
Designing governed Azure architectures, storage strategies, APIs, and data pipelines that turn complex operational needs into durable systems.
Expertise
Strategy, architecture, and delivery in one frame.
Technical depth paired with program leadership, governance, and a clear focus on measurable business value.
Automation at Scale
Replacing repetitive work with practical automation across Azure Functions, Power Platform, Python, SQL, R, and Microsoft Fabric.
Technical Leadership
Aligning stakeholders, setting standards, planning workloads, mentoring teams, and translating strategy into delivery for regulated programs.
Program & project leadership
Creating the conditions for complex work to move.
Define the path
Translate business needs into requirements, roadmaps, delivery plans, budgets, milestones, dependencies, and measurable outcomes.
Bring people together
Lead customer-facing programs, executive communication, multidisciplinary coordination, client relationships, and adoption across 10+ operational sites.
Manage the system
Own scope, schedule, risk, resourcing, governance, quality, and continuous improvement while guiding cross-functional contributors toward shared outcomes.
Capabilities & technologies
A toolkit built for transformation.
Cloud & Data
Microsoft AzureAzure Blob StorageAzure FunctionsAzure Key VaultAzure FilesMicrosoft FabricCloudflareSQL ServerData PipelinesETLData Modeling
Analytics & Automation
Power BIMicrosoft Power PlatformPower AutomatePower AppsCopilot StudioPythonRSQLREST APIsJSONRegex
Product & Engineering
Next.jsReactPostmanGitHubAzure DevOpsCI/CDAPI IntegrationAI-Assisted DevelopmentEQuIS Enterprise / Live
Leadership & Delivery
Program ManagementAgile DeliveryProduct OwnershipRoadmappingScope & ScheduleBudget ManagementRisk ManagementStakeholder EngagementResource PlanningChange Management
Governance
Data GovernanceAutomation GovernanceSecurity ControlsQA/QCData ValidationAudit ReadinessSOP DevelopmentTechnical TrainingRegulatory Compliance
AI & LLM capability
Using generative AI as a disciplined delivery system.
I apply LLMs to accelerate planning, solution design, development, debugging, documentation, automation, technical review, and quality validation—while maintaining human oversight, security awareness, and clear governance.
OpenAI GPT · Anthropic Claude · Microsoft Copilot
Hands-on use of ChatGPT, Claude and Claude Code, Microsoft Copilot, GitHub Copilot, and Copilot Studio across technical and enterprise workflows.
Structured prompting · Context engineering · Spec-driven delivery
Designing reusable instructions, decomposing complex work, coordinating multi-agent development workflows, and validating outputs against requirements.
Governance · Human review · Risk controls
Evaluating model output, protecting sensitive information, establishing review gates, documenting decisions, and connecting AI use to measurable outcomes.