Enterprise Data Warehouse and ETL Implementation
Design and creation of a centralized data warehouse and automated ETL (Extract, Transform, Load) processes for unified business reporting.
Objective
Consolidate data from CRM, ERP, and marketing sources into a single, highly performant analytical database.
User Management Module
Sales Pipeline View
Real-time Metrics
User Management Module
Custom Report Builder
Built on **Google BigQuery** (or Snowflake/Redshift) for its analytical processing power and serverless scaling capabilities.
Implementation Highlights
- Star schema dimensional modeling.
- Daily automated incremental load processes.
- Improved query performance for reporting by 90%.
FAQ
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A simplified dimensional model used in data warehousing, consisting of one central fact table surrounded by dimension tables.
Apache Airflow was used to schedule, monitor, and manage the complex dependencies of the ETL jobs.