Worked on enhancing the reliability and maintainability of the Airflow Dataproc integration within the gopidesupavan/airflow repository. Focused on backend development using Python, the work addressed a bug in the DataprocCreateClusterOperator by refining the handling of the services parameter. The technical approach involved updating type hints and default values to permit None, removing unnecessary conditional logic, and clarifying code paths to reduce potential errors during cluster provisioning. These changes improved the robustness of cloud services integration, particularly for Yandex provider support, and laid groundwork for easier future testing and validation, contributing to overall code quality and maintainability.