Data & Integration Architecture
Models, mappings, and API interfaces that align systems and improve data trust.
Capabilities
Cloud Foundations
Pragmatic use of managed services for storage, flow, and analytics while learning and iterating.
Applied AI
Experiments with retrieval, vectors, and agentic orchestration to connect knowledge to action.
Architecture Practice
Clear docs and visual models to help teams reason about complexity and deliver safely.
Documentation & Visual Modeling
C4/UML, decision logs, and concise diagrams that travel well across teams.
Delivery & Collaboration
Small slices, demos, and feedback loops; comfortable pairing with engineers and analysts.
Selected Work
Customer Notifications Platform
Designed secure data exchanges and pipelines (batch + streaming) to deliver timely operational alerts at scale.
Cross-Enterprise Analytics Model
Harmonized data from multiple business units into a consistent model to enable shared analytics and reduce manual reporting.
Approach
- Listen — understand goals, constraints, and people.
- Design — make complexity visual; define options and trade-offs.
- Build — start small and prove value.
- Iterate — capture feedback; refine docs and patterns.
- Scale — codify practices for durable delivery.