Worked on the Netflix/maestro repository to implement a configurable step parameter separator, allowing double underscores in step IDs and parameter names to support varied naming conventions across automated workflows. This feature was designed with a backward-compatible, configuration-driven approach, minimizing disruption to existing workflows while enhancing integration flexibility and maintainability. The work involved Python-based changes to the Maestro workflow orchestrator, leveraging skills in AWS, Java, and Spring Boot. Collaboration was managed through pull request reviews and merges, emphasizing code quality and maintainable configuration patterns. No major bugs were addressed during this period, with the primary focus on feature development and workflow interoperability.