Context
Operational data stored across multiple cloud environments and warehouses.
Problem
Data fragmentation prevented unified analysis and downstream integration.
Constraints
Source systems could not be modified and data volume was substantial.
Scope
Data platform lead responsible for ingestion and normalization.
Strategy
Establish repeatable ingestion workflows with clear separation of source and target systems.
Architecture
Built daily snapshot ingestion pipelines moving data across cloud warehouses with transformation layers.
Impact
Enabled consistent downstream analytics and product integrations.
Effects
Reduced ad-hoc data handling and improved confidence in reported metrics.
Artifacts
Data ingestion workflow
Available upon request
Snapshot and transformation schema
Available upon request
Key Insights
Reliable analytics begin with disciplined ingestion, not dashboards.