### Body

Use `AirflowProviderDeprecationWarning` as warning source in EMR operators and change stacklevel to 2:
https://github.com/apache/airflow/blob/05036e619c0c6dafded1451daac4e07e20aee33f/airflow/providers/amazon/aws/operators/emr.py#L380-L384
https://github.com/apache/airflow/blob/05036e619c0c6dafded1451daac4e07e20aee33f/airflow/providers/amazon/aws/operators/emr.py#L373-L377
https://github.com/apache/airflow/blob/05036e619c0c6dafded1451daac4e07e20aee33f/airflow/providers/amazon/aws/operators/emr.py#L264-L268
https://github.com/apache/airflow/blob/05036e619c0c6dafded1451daac4e07e20aee33f/airflow/providers/amazon/aws/operators/emr.py#L257-L261

### Committer

- [X] I acknowledge that I am a maintainer/committer of the Apache Airflow project.
"naming conventions.  Please use waiter_delay instead.  In the "
                "future this will default to None and defer to the waiter's default value."
            )
        if waiter_countdown is NOTSET:
            waiter_max_attempts = 25 if waiter_max_attempts is NOTSET else waiter_max_attempts
        else:
            if waiter_max_attempts is NOTSET:
                
                
                waiter_max_attempts = waiter_countdown // waiter_delay  
            warnings.warn(
                "The parameter waiter_countdown has been deprecated to standardize "
                "naming conventions.  Please use waiter_max_attempts instead.  In the "
                "future this will default to None and defer to the waiter's default value."
            )
        self.wait_for_delete_completion = wait_for_completion
        
        super().__init__(
            application_id=application_id,
            
            wait_for_completion=True,
            aws_conn_id=aws_conn_id,
            waiter_delay=waiter_delay,
            waiter_max_attempts=waiter_max_attempts,
            force_stop=force_stop,
            **kwargs,
        )
        self.deferrable = deferrable
        self.wait_for_delete_completion = False if deferrable else wait_for_completion
    def execute(self, context: Context) -> None: