### Description

The Amazon Airflow Provider lacks operators for "Reboot Instance" and "Hibernate Instance," two states available in the AWS UI. Achieving feature parity would provide a seamless experience, aligning Airflow with AWS capabilities.

I'd like to see the EC2RebootInstanceOperator and EC2HibernateInstanceOperator added to Amazon Provider.

### Use case/motivation

This enhancement ensures users can manage EC2 instances in Airflow the same way they do in the AWS UI.

### 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)

"""
    Start AWS EC2 instance using boto3.
    .. seealso::
        For more information on how to use this operator, take a look at the guide:
        :ref:`howto/operator:EC2StartInstanceOperator`
    :param instance_id: id of the AWS EC2 instance
    :param aws_conn_id: aws connection to use
    :param region_name: (optional) aws region name associated with the client
    :param check_interval: time in seconds that the job should wait in
        between each instance state checks until operation is completed
    """
    template_fields: Sequence[str] = ("instance_id", "region_name")
    ui_color = "#eeaa11"
    ui_fgcolor = "#ffffff"
    def __init__(
        self,
        *,
        instance_id: str,
        aws_conn_id: str = "aws_default",
        region_name: str | None = None,
        check_interval: float = 15,
        **kwargs,
    ):
        super().__init__(**kwargs)
        self.instance_id = instance_id
        self.aws_conn_id = aws_conn_id
        self.region_name = region_name
        self.check_interval = check_interval
    def execute(self, context: Context):