I design and build cloud architectures — data, orchestration, APIs, and AI consumption — so access, quality, and governance hold in production.
Talk architecture
Too many data/AI stacks grow as silos: brittle pipelines, empty catalogs, apps that bypass the platform, and infra debt nobody wants to touch. Meanwhile, architecture debt piles up.
HOW I WORK
Real topology: sources, pipelines, catalog, APIs, orchestration (K8s), consumption environments, and technical debt.
Reference architecture — metadata-driven ingestion, DataOps, governance, and app surfaces teams can extend.
Implement with your engineers, automate what must be automated, and leave an operable foundation — not a demo.
THE SERVICES
Architecture audit
Technical review of your data/AI/app stack: topology, risks, debt, and a prioritized architecture plan.
From
$2,500
Message on LinkedInPlatform design & build
Design and implementation kickoff: catalog, ingestion, APIs, orchestration, and secure consumption.
From
$7,500
Start hereStaff+ architecture
Embedded platform architecture with your data, cloud, and engineering teams.
From
$1,400/mo
Talk stack+ Technical build as an add-on: POC, pipeline, microservice, catalog, or data portal, from $5,000.
CAE
Data & governance platform shipped in enterprise.
Design and delivery: proprietary catalog, metadata-driven ingestion, automated quality, Kubernetes orchestration, SOC2 consumption on Databricks.
SOC2
consumption environment
K8s
pipeline orchestration
MTY Food Group
Data & AI platform across banners + related apps.
Architecture of the platform and consumption applications. The through-line: actionable data via app surfaces, not just a lake.
Data+AI
platform scope
Apps
consumption surfaces
A stack to clarify or build?
Message on LinkedIn