Databricks-Based Data Warehouse Modernization
Migration of legacy infrastructure to a modern lakehouse architecture, enabling 5x faster analytics and unified data governance through optimized ELT pipelines.
The Challenge
The client's legacy data warehouse struggled with performance bottlenecks, siloed data sources, and complex ETL processes. Query times were increasing, data governance was fragmented, and the infrastructure couldn't scale with business growth. They needed a unified platform that could handle both structured and unstructured data efficiently.
Our Solution
We engineered a modern lakehouse architecture that unified data warehousing and data lakes
Lakehouse Architecture
Implemented Databricks lakehouse combining data warehouse performance with data lake flexibility, supporting both BI and ML workloads.
Optimized ELT Pipelines
Designed efficient ELT processes using Delta Lake ACID transactions and Apache Spark for high-performance data processing.
Unified Governance
Established centralized data governance with Unity Catalog for fine-grained access control and data lineage tracking.
Real-Time Analytics
Enabled real-time data processing with structured streaming capabilities for immediate insights and dashboard updates.
Results & Impact
Technology Stack
Modern data platform technologies