### 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)

@pytest.mark.parametrize("value", ["102938.3043847474", 1.010001, 10, "100", "1E-128", 1e-128])
    def test_jsonencoder_with_decimal(self, value):
        """Test JSONEncoder correctly encodes and decodes decimal values."""
        org = Decimal(value)
        encoded = json.dumps(org, cls=JSONEncoder)
        decoded = json.loads(encoded, parse_float=Decimal)
        assert org == pytest.approx(decoded)
class TestDynamodbToS3:
    def setup_method(self):
        self.output_queue = []
    def mock_upload_file(self, Filename, Bucket, Key):
        with open(Filename) as f:
            lines = f.readlines()
            for line in lines:
                self.output_queue.append(json.loads(line))
    @patch("airflow.providers.amazon.aws.transfers.dynamodb_to_s3.S3Hook")
    @patch("airflow.providers.amazon.aws.transfers.dynamodb_to_s3.DynamoDBHook")
    def test_dynamodb_to_s3_success(self, mock_aws_dynamodb_hook, mock_s3_hook):