Netflix engineers Jun He and Akash Dwivedi present Maestro, Netflix's powerful workflow orchestrator for data and ML workflows. Maestro provides a scalable, user-friendly platform that supports large-scale workflows with nested structures, parameterized executions, and integration with various data processing tools. The system offers multiple interfaces, including YAML, Python, and Java DSLs, as well as REST and GraphQL APIs. Maestro's architecture ensures efficient execution, reliability, and debug ability, making it an essential tool for Netflix's data-driven decision-making processes across various business areas.