### Description

Currently some code in RDS Operators use boto waiters and some uses a custom `_await_status`, the former is preferred over the later (waiters are vetted code provided by the boto sdk, they have features like exponential backoff, etc). See [this discussion thread](https://github.com/apache/airflow/pull/27076#discussion_r997325535) for more details/context.

### Use case/motivation

_No response_

### Related issues

_No response_

### Are you willing to submit a PR?

- [ ] 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)

self.log.info(
            "Poking for statuses : %s\nfor export task %s", self.target_statuses, self.export_task_identifier
        )
        return self._check_item(item_type="export_task", item_name=self.export_task_identifier)
class RdsDbSensor(RdsBaseSensor):
    """
    Waits for an RDS instance or cluster to enter one of a number of states
    .. seealso::
        For more information on how to use this sensor, take a look at the guide:
        :ref:`howto/sensor:RdsDbSensor`
    :param db_type: Type of the DB - either "instance" or "cluster" (default: 'instance')
    :param db_identifier: The AWS identifier for the DB
    :param target_statuses: Target status of DB
    """
    template_fields: Sequence[str] = (
        "db_identifier",
        "db_type",
        "target_statuses",
    )
    def __init__(