### Description

It would be nice if we could give the DatabricksSubmitRunOperator a pipeline name instead of a pipeline_id for cases when you do not already know the pipeline_id but do know the name. I'm not sure if there's an easy way to fetch a pipeline_id.

### Use case/motivation

Avoid hardcoding pipeline ID's, storing the ID's elsewhere, or fetching the pipeline list and filtering it manually if the pipeline name is known, but ID is not.

### Related issues

_No response_

### Are you willing to submit a PR?

- [X] Yes I am willing to submit a PR!

### Code of Conduct

- [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)

"""
    Handles the Airflow + Databricks lifecycle logic for a Databricks operator.
    :param operator: Databricks operator being handled
    :param context: Airflow context
    """
    if operator.do_xcom_push and context is not None:
        context["ti"].xcom_push(key=XCOM_RUN_ID_KEY, value=operator.run_id)
    log.info("Run submitted with run_id: %s", operator.run_id)
    run_page_url = hook.get_run_page_url(operator.run_id)
    if operator.do_xcom_push and context is not None:
        context["ti"].xcom_push(key=XCOM_RUN_PAGE_URL_KEY, value=run_page_url)
    if operator.wait_for_termination:
        while True:
            run_info = hook.get_run(operator.run_id)
            run_state = RunState(**run_info["state"])
            if run_state.is_terminal:
                if run_state.is_successful:
                    log.info("%s completed successfully.", operator.task_id)
                    log.info("View run status, Spark UI, and logs at %s", run_page_url)
                    return
                else:
                    if run_state.result_state == "FAILED":
                        task_run_id = None