Here’s an example of my experience applying Business System Logic transformations and Change Data Capture (CDC) in SQL:

1. Create Tables

   • Landing.[User] – The source table
   • Staging.[User] – The target table for transformations

2. Apply CDC Logic

   • Implemented CDC to capture changes from Landing.[User] and apply them to Staging.[User]
   • Ensured only inserted/updated/deleted records are processed for efficiency

3. Column Transformations

   • Applied business system logic to transform columns from Landing to Staging
   • Examples:
     • Standardizing names and emails
     • Calculating derived metrics
     • Data type conversions and null handling

4. Automation via Stored Procedure

   • Encapsulated the CDC and transformation logic in a stored procedure
   • Scheduled execution for regular updates to keep staging synchronized

• SQL Development & Stored Procedures
• CDC (Change Data Capture) Implementation
• Business System Logic & Data Transformations
• ETL / Data Warehousing Concepts
• Performance Optimization in SQL