Solutions
Cloud & Data
Ingestion, layered architecture, migration and pipelines — a governed data platform instead of isolated reports.
A data platform only holds up when the path from source to consumption is traceable and reusable. We design and implement that path: ingestion from APIs and enterprise systems, transformation layers, reusable models and controlled consumption — with separate environments for development, acceptance and production.
What we deliver
- Ingestion via API and enterprise systems through Fabric notebooks
- Layered Bronze, Silver and Gold architecture in OneLake
- Python and PySpark transformations built for reuse
- Content and document-estate migration to cloud with reconciliation
- DEV, UAT and production flow with group-controlled access
Signs your operation needs this
- Every team built its own data path, in parallel
- Nobody can trace where a published number came from
- There is a large estate to migrate and no validation plan
- Production changes happen with no acceptance environment
Stack
Microsoft FabricOneLakePySparkAzure Blob StorageMicrosoft Graph APISharePoint Online
Cases in this practice
Contact
Have an operational problem to solve?
Describe the process that needs to evolve, or the decision your company needs data to support. We come back with an initial read and the next steps.