Cloud & Data Engineering
Build secure, modern, Fabric-native data foundations
NeoStats engineers the data infrastructure enterprises need to run AI at scale - lakehouses, pipelines, semantic models, and governed data products built to production standard.
Why it matters
Poor data foundations are the single largest reason AI programmes fail. NeoStats builds them right: Azure Fabric-native, governed from day one, with observable pipelines and production-hardened delivery patterns.
What NeoStats delivers
- Microsoft Fabric lakehouse and data warehouse implementation
- Azure Data Factory, Eventstream, and pipeline engineering
- Semantic model and data product development
- Medallion architecture (Bronze / Silver / Gold) build
- Real-time and batch ingestion patterns
- DataOps, monitoring, and runbook documentation
Where it applies
- Modernising a legacy on-premises data warehouse to Azure/Fabric
- Building a unified analytics platform across multiple business units
- Enabling real-time data products for operational AI use cases
- Replacing fragmented ETL pipelines with governed, reusable patterns
Delivery highlights
- Monthly incremental releases with business validation at each stage
- Reusable ingestion templates that reduce new-source onboarding time
- Full observability stack: monitoring, alerting, and runbooks before go-live