**Apache Airflow version**: 1.10.8 (Patched with latest AWS Hook)

**Environment**:

- **Cloud provider or hardware configuration**: 4 VCPU 8GB RAM VM
- **OS** (e.g. from /etc/os-release): RHEL 7.7
- **Kernel** (e.g. `uname -a`): Linux 3.10.0-957.el7.x86_64
- **Install tools**:
- **Others**:
The AWS Hook functionality for AssumeRoleWithSAML is not available in this version, we manually added it via patching the hook file.

**What happened**:
We've been using this hook for a while now with this issue, basically sts.assume_role and sts.assume_role_with_saml will return temporary credentials that are only valid for eg 1 hour by default. Eventually with long running operators / hooks / sensors some of them fail because the credentials have expired.

Example error messages
An error occurred (ExpiredTokenException) when calling the AssumeRole operation: Response has expired
An error occurred (ExpiredTokenException) when calling the AssumeRoleWithSAML operation: Response has expired
botocore.exceptions.ClientError: An error occurred (ExpiredTokenException) when calling the <any operation here> operation: The security token included in the request is expired

**What you expected to happen**:

AWS hook should be updated to use boto3 RefreshableCredentials when temporary credentials are in use.

**How to reproduce it**:

Use any of the assume role methods with the AWS Hook, create a session, wait 1 hour (or whatever expiry period applies to your role), and try and use the hook again.

**Anything else we need to know**:

I have a solution, please self-assign this.
airflow/providers/amazon/aws/hooks/base_aws.py
if not self.aws_conn_id:
            session = boto3.session.Session(region_name=region_name)
            return session, None
        self.log.info("Airflow Connection: aws_conn_id=%s", self.aws_conn_id)
        try:
            
            connection_object = self.get_connection(self.aws_conn_id)
            extra_config = connection_object.extra_dejson
            endpoint_url = extra_config.get("host")
            
            if "config_kwargs" in extra_config:
                self.log.info(
                    "Retrieving config_kwargs from Connection.extra_config['config_kwargs']: %s",
                    extra_config["config_kwargs"],
                )
                self.config = Config(**extra_config["config_kwargs"])
            session = _SessionFactory(
                conn=connection_object, region_name=region_name, config=self.config
            ).create_session()
            return session, endpoint_url
        except AirflowException:
            self.log.warning("Unable to use Airflow Connection for credentials.")
            self.log.info("Fallback on boto3 credential strategy")
            
        self.log.info(
            "Creating session using boto3 credential strategy region_name=%s",
            region_name,
        )