Developed and integrated an observability layer for Apache Airflow within the apache/skywalking repository, focusing on end-to-end monitoring and telemetry. Leveraging OpenTelemetry, the work enabled the collection and visualization of detailed service and instance metrics for Airflow workflows, supporting faster troubleshooting and improved capacity planning. The implementation, aligned with SWIP-7, was delivered in Python and YAML, and included a dedicated, traceable commit. By enhancing backend monitoring capabilities, the solution provided richer visibility into Airflow operations, proactive alerting, and more actionable insights for system reliability. The approach emphasized maintainable instrumentation and seamless integration with existing monitoring infrastructure and workflows.