### 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
import json
from unittest import mock
import boto3
import pytest
from botocore.exceptions import WaiterError
from botocore.waiter import WaiterModel
from moto import mock_eks
from airflow.providers.amazon.aws.hooks.ecs import EcsClusterStates, EcsHook, EcsTaskDefinitionStates
from airflow.providers.amazon.aws.hooks.eks import EksHook
from airflow.providers.amazon.aws.waiters.base_waiter import BaseBotoWaiter
def assert_all_match(*args):
    assert len(set(args)) == 1
class TestBaseWaiter: