### What do you see as an issue?

In the `EcsRunTaskOperator`, one of the params in the docstring is `region_name`, but it should be `region`:

https://github.com/apache/airflow/blob/2.5.0/airflow/providers/amazon/aws/operators/ecs.py#L281

### Solving the problem

_No response_

### Anything else

_No response_

### Are you willing to submit 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)

:param placement_constraints: an array of placement constraint objects to use for
        the task
    :param placement_strategy: an array of placement strategy objects to use for
        the task
    :param platform_version: the platform version on which your task is running
    :param network_configuration: the network configuration for the task
    :param tags: a dictionary of tags in the form of {'tagKey': 'tagValue'}.
    :param awslogs_group: the CloudWatch group where your ECS container logs are stored.
        Only required if you want logs to be shown in the Airflow UI after your job has
        finished.
    :param awslogs_region: the region in which your CloudWatch logs are stored.
        If None, this is the same as the `region_name` parameter. If that is also None,
        this is the default AWS region based on your connection settings.
    :param awslogs_stream_prefix: the stream prefix that is used for the CloudWatch logs.
        This is usually based on some custom name combined with the name of the container.
        Only required if you want logs to be shown in the Airflow UI after your job has
        finished.
    :param awslogs_fetch_interval: the interval that the ECS task log fetcher should wait
        in between each Cloudwatch logs fetches.
    :param quota_retry: Config if and how to retry the launch of a new ECS task, to handle
        transient errors.
    :param reattach: If set to True, will check if the task previously launched by the task_instance
        is already running. If so, the operator will attach to it instead of starting a new task.
        This is to avoid relaunching a new task when the connection drops between Airflow and ECS while
        the task is running (when the Airflow worker is restarted for example).
    :param number_logs_exception: Number of lines from the last Cloudwatch logs to return in the
        AirflowException if an ECS task is stopped (to receive Airflow alerts with the logs of what
        failed in the code running in ECS).
    :param wait_for_completion: If True, waits for creation of the cluster to complete. (default: True)
    """