A leading Indian NBFC, operating across vehicle finance, home loans, business loans, and insurance, was running its analytics estate across Apex, Power BI, and Excel based MIS, with no centralised integration layer. Every new dashboard or model meant analysts rebuilding ETL and data marts from scratch. The same metric had different definitions depending on which tool produced it. Decisions were slowed, and trust in the numbers was eroding.
What Cuedo Built
An end to end enterprise data platform on Google Cloud, anchored on BigQuery with a Medallion (Bronze, Silver, Gold) architecture, delivered through five configurable frameworks, each independently deployable via its own CI/CD pipeline.
Key engineering decisions:
- Medallion architecture in BigQuery, with Bronze for raw replication, Silver for cleansed entity models, and Gold for governed, business ready datasets
- Five configurable frameworks, Data Ingestion, Ingestion Orchestration, Data Model, Data Transformation, and Data Orchestration, each with independent CI/CD and rollback
- Dataflow and Datastream for batch, incremental, and real time CDC ingestion; Dataproc for complex unstructured and UDT heavy sources
- Full Infrastructure as Code via Terraform, inside a hardened GCP Landing Zone with VPC, IAM, CMEK encryption, and SIEM integration
- Vertex AI powering MLOps for 25 production models, including automated training, deployment, and drift monitoring
- Dataplex for catalog, lineage, classification, and policy enforcement across the entire estate
- Config driven ingestion templates, meaning new tables onboard by editing configuration, not writing new pipelines
1,000+ tables. 12 databases. Delivered in 7 months. A platform giving the business one governed answer to every KPI question, powering 25 ML models in production, with the client's own team trained to run and extend it after go-live.