Approach
G-TECH applied a standard architecture tailored to the client’s operating model: reusable batch, change data capture, and streaming ingestion patterns; clear Bronze, Silver, and Gold data layers; and embedded quality, lineage, and governance controls.
Solution
The team used Informatica to standardize ingestion and orchestration, then built a governed Snowflake lakehouse with enforceable data quality rules, transparent lineage, and audit-ready controls. The architecture also created a scalable foundation for analytics and future AI use cases.
Results
Data onboarding time fell 75 percent, moving from weeks to days. The organization achieved trusted, governed data and audit-ready lineage across the platform without compromising scalability.