### 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)

#
#
from __future__ import annotations
from datetime import datetime
import boto3
from airflow.decorators import task
from airflow.models.baseoperator import chain
from airflow.models.dag import DAG
from airflow.providers.amazon.aws.operators.s3 import S3CreateBucketOperator, S3DeleteBucketOperator
from airflow.providers.amazon.aws.transfers.dynamodb_to_s3 import DynamoDBToS3Operator
from airflow.utils.trigger_rule import TriggerRule
from tests.system.providers.amazon.aws.utils import ENV_ID_KEY, SystemTestContextBuilder
DAG_ID = "example_dynamodb_to_s3"
sys_test_context_task = SystemTestContextBuilder().build()
TABLE_ATTRIBUTES = [
    {"AttributeName": "ID", "AttributeType": "S"},
    {"AttributeName": "Value", "AttributeType": "S"},
]
TABLE_KEY_SCHEMA = [
    {"AttributeName": "ID", "KeyType": "HASH"},
    {"AttributeName": "Value", "KeyType": "RANGE"},
]
TABLE_THROUGHPUT = {"ReadCapacityUnits": 1, "WriteCapacityUnits": 1}
S3_KEY_PREFIX = "dynamodb-segmented-file"
@task
def set_up_table(table_name: str):