Evalueserve

The client needed to modernize a fragmented data ecosystem where forecasting datasets were distributed across cloud data warehouses, ERP systems, analytics platforms, and spreadsheets. Manual extraction processes, inconsistent data refresh cycles, and the lack of automation delayed analytics and reduced data quality for demand forecasting.

Evalueserve designed a cloud-native, automated data platform that extracted data from multiple enterprise systems, automated secure cross-cloud data movement, and centralized data within a cloud data warehouse. The implementation included automated ingestion, partitioned and clustered tables, data quality validation, schema validation, security controls, enterprise deployment workflows, scheduling, monitoring, and operational observability to support forecasting and analytics.

The client operated multiple legacy and cloud-based systems, including SQL Server, NoSQL databases, CRM platforms, and operational applications. Data was fragmented, inconsistently governed, and lacked a unified foundation to support enterprise pricing, brokerage, and forecasting analytics while enabling near real-time updates.

Evalueserve implemented a modular cloud lakehouse using a Medallion Architecture with Bronze, Silver, and Gold layers. The solution automated multi-source data ingestion using Apache Beam, Dataflow Flex Templates, and Cloud Composer while transforming data into Iceberg-backed BigQuery tables. The implementation also introduced centralized orchestration, audit logging, monitoring, metadata-driven onboarding, row-level security, CI/CD pipelines, and infrastructure provisioning using Terraform.

The client required a single, enterprise-wide view of metadata and data lineage while enabling domain-level governance, automated PII discovery, and secure cross-division data sharing. The solution also needed to meet strict regulatory and data residency requirements while improving governance across distributed data assets.

Evalueserve integrated Collibra with Google Cloud Data Catalog through bidirectional synchronization to establish a unified metadata catalog. Dataplex domains were implemented to support federated governance, while Google Cloud DLP APIs automated PII detection. Analytics Hub enabled secure dataset sharing across business divisions, and IAM with VPC Service Controls (VPC-SC) enforced secure access and data protection.