Data normalization layer
Efficiency metrics from disparate sources normalized into a consistent schema with defined refresh cadence.
CAD Guardian LLC · Proof detail
Live dashboard that consolidated operational metrics into a single .NET-native view.
TL;DR
The dashboard succeeded because data sources were normalized before any UI was built. Blazor was chosen for native .NET alignment and enterprise deployment safety—not because it was new.
Public callouts

Challenge
Engineering efficiency data existed across disconnected spreadsheets and manual reports. No consolidated view existed to support operational decisions or leadership review.
Approach
Audit existing data sources and normalize efficiency metrics into a common schema.
Design a Blazor component structure that supports filtering, time-range selection, and drill-down.
Integrate with existing .NET data services and deploy within the enterprise stack.
Architecture layers
Efficiency metrics from disparate sources normalized into a consistent schema with defined refresh cadence.
Server-side Blazor components for metric cards, trend charts, and filtered drill-down views.
Service layer that connects to existing .NET data sources without rewriting upstream systems.
Outcomes
Sanitization note
This proof is derived from a private project and private business records. Public language is limited to approved patterns, neutral client labels, and redaction-safe outcomes.
No client names, stakeholder names, internal codes, or branded screenshots are exposed here.