Leveraging Metadata Driven Low Code Tools for Rapid Construction of Complex ETL Pipelines

Abstract

Metadata-driven low code platforms offer a transformative approach for rapidly designing and
deploying complex ETL pipelines by automating schema interpretation, transformation generation, and
workflow orchestration. By leveraging centralized metadata models, these systems reduce development time,
enforce consistent transformation semantics, and enable dynamic adaptation to evolving data structures across
heterogeneous environments. The integration with distributed ETL engines further enhances performance
through optimized execution plans, improved parallelism, and resilient fault-handling. As a result,
organizations can construct scalable, maintainable, and high-efficiency pipelines that support both operational
and analytical workloads with greater reliability. This metadata-centric paradigm provides a powerful
foundation for accelerating enterprise data engineering processes while maintaining strict governance and
system-wide consistency.