Situation
Analytics and ML initiatives stall when the underlying data platform is fragmented, brittle, or designed exclusively for single-use reporting outputs.
Intervention
Architected a highly durable data infrastructure focused on reliable ingestion, robust transformation layers, and highly available analytics pathways that downstream teams could seamlessly build upon.
Architecture
- Azure-native ingestion and scalable Blob storage patterns
- Complex transformation layers designed for downstream analytics and BI feeding
- Databricks-enabled processing workflows for heavy data normalization
- Direct-query Power BI consumption layers for zero-latency business users
Results
- Established the undisputed backbone for broader Business Intelligence operations.
- Dramatically improved organizational readiness for reporting and advanced analytics.
- Created a pristine, verified data platform with room to support future ML workloads.