Data pipeline debugging refers to the process of identifying and resolving issues within data processing workflows that extract, transform, and load data from various sources to target systems. As startups increasingly rely on data-driven decision-making, debugging data pipelines is crucial to ensuring the accuracy, reliability, and timeliness of their data, enabling them to troubleshoot errors, optimize performance, and maintain data integrity.