In every enterprise transformation journey, data migration is a universal stage. Recently, we faced a classic challenge: migrating legacy SQL data to a modernized MySQL schema — with completely different dimensions, constraints, and structures.
Instead of going the traditional route, we decided to leverage an ETL Agent powered by LLMs. Here’s how it unfolded:
🔹 Step 1: Extracted metadata from both source (legacy) and target (modernized) schemas
🔹 Step 2: Used semantic understanding, attention mechanisms & positional encoding to guide mapping
🔹 Step 3: Achieved 80% column mapping accuracy across schemas using a Chain-of-Thought (CoT) approach
🔹 Step 4: Finalized with lightweight scripting to load and migrate the data seamlessly
💡 The result? A highly effective, intelligent, and scalable migration process — with minimal manual intervention.
We’re excited about how agents and LLMs are reshaping traditional ETL workflows.
Have you explored similar approaches in your data modernization efforts?
Thoughts Map 