### 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,
        *,
        db_instance_identifier: str,
        rds_kwargs: dict | None = None,
        aws_conn_id: str = "aws_default",
        wait_for_completion: bool = True,
        **kwargs,
    ):
        super().__init__(aws_conn_id=aws_conn_id, **kwargs)
        self.db_instance_identifier = db_instance_identifier
        self.rds_kwargs = rds_kwargs or {}
        self.wait_for_completion = wait_for_completion
    def execute(self, context: Context) -> str:
        self.log.info("Deleting DB instance %s", self.db_instance_identifier)
        delete_db_instance = self.hook.conn.delete_db_instance(
            DBInstanceIdentifier=self.db_instance_identifier,
            **self.rds_kwargs,
        )
        if self.wait_for_completion:
            self.hook.conn.get_waiter("db_instance_deleted").wait(
                DBInstanceIdentifier=self.db_instance_identifier
            )
        return json.dumps(delete_db_instance, default=str)
class RdsStartDbOperator(RdsBaseOperator):