### Description

Airflow provides the Amazon DynamoDB to Amazon S3 below.  
https://airflow.apache.org/docs/apache-airflow-providers-amazon/stable/operators/transfer/dynamodb_to_s3.html

Most of Data Engineer build their "export DDB data to s3" pipeline using "within the point in time recovery window".   
https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/dynamodb.html#DynamoDB.Client.export_table_to_point_in_time

I appreciate if airflow has this function as a native function.  

### Use case/motivation

My daily batch job exports its data with pitr option. All of tasks is written by apache-airflow-providers-amazon except "export_table_to_point_in_time" task. 
"export_table_to_point_in_time" task only used the python operator. I expect I can unify the task as apache-airflow-providers-amazon library. 

### Related issues

_No response_

### Are you willing to submit a 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)

"""Custom json encoder implementation"""
    def default(self, obj):
        """Convert decimal objects in a json serializable format."""
        if isinstance(obj, Decimal):
            return float(obj)
        return super().default(obj)
def _convert_item_to_json_bytes(item: dict[str, Any]) -> bytes:
    return (json.dumps(item, cls=JSONEncoder) + "\n").encode("utf-8")
def _upload_file_to_s3(
    file_obj: IO,
    bucket_name: str,
    s3_key_prefix: str,
    aws_conn_id: str | None = AwsBaseHook.default_conn_name,
) -> None:
    s3_client = S3Hook(aws_conn_id=aws_conn_id).get_conn()
    file_obj.seek(0)
    s3_client.upload_file(
        Filename=file_obj.name,
        Bucket=bucket_name,
        Key=s3_key_prefix + str(uuid4()),
    )
class DynamoDBToS3Operator(AwsToAwsBaseOperator):