ELT-Bench introduces a comprehensive framework for evaluating how AI agents can automate Extract-Load-Transform pipelines in modern data warehousing.

• First benchmark to evaluate AI agents across the complete ELT workflow
• Tests AI capabilities in schema design, data extraction, transformation code generation, and data validation
• Identifies key challenges where current AI models struggle with end-to-end pipeline development

This research matters for Engineering teams as it paves the way for AI-assisted data engineering, potentially reducing manual effort in designing complex data pipelines while maintaining correctness.

ELT-Bench: An End-to-End Benchmark for Evaluating AI Agents on ELT Pipelines