### Apache Airflow Provider(s)

amazon

### Versions of Apache Airflow Providers

_No response_

### Apache Airflow version

2.3.3

### Operating System

MacOs/Linux

### Deployment

Docker-Compose

### Deployment details

_No response_

### What happened

sql_to_s3.py transfer has top level python code imports considered as Bad Practices:

https://github.com/apache/airflow/blob/be31214dcf14db39b7a5f422ca272cdc13e08268/airflow/providers/amazon/aws/transfers/sql_to_s3.py#L26

According to the [official docs](https://airflow.apache.org/docs/apache-airflow/2.3.3/best-practices.html#top-level-python-code):

```python
import numpy as np  # <-- THIS IS A VERY BAD IDEA! DON'T DO THAT!
```

All imports that are not related to DAG structure and creation should be moved to callable functions, such as the `execute` method.

This causes timeout errors while filling the `DagBag`:

```
  File "/opt/airflow/dags/mydag.py", line 6, in <module>
    from airflow.providers.amazon.aws.transfers.sql_to_s3 import SqlToS3Operator
  File "/home/airflow/.local/lib/python3.7/site-packages/airflow/providers/amazon/aws/transfers/sql_to_s3.py", line 25, in <module>
    import pandas as pd
  File "/home/airflow/.local/lib/python3.7/site-packages/pandas/__init__.py", line 50, in <module>
    from pandas.core.api import (
  File "/home/airflow/.local/lib/python3.7/site-packages/pandas/core/api.py", line 48, in <module>
    from pandas.core.groupby import (
  File "/home/airflow/.local/lib/python3.7/site-packages/pandas/core/groupby/__init__.py", line 1, in <module>
    from pandas.core.groupby.generic import (
  File "/home/airflow/.local/lib/python3.7/site-packages/pandas/core/groupby/generic.py", line 73, in <module>
    from pandas.core.frame import DataFrame
  File "/home/airflow/.local/lib/python3.7/site-packages/pandas/core/frame.py", line 193, in <module>
    from pandas.core.series import Series
  File "/home/airflow/.local/lib/python3.7/site-packages/pandas/core/series.py", line 141, in <module>
    import pandas.plotting
  File "<frozen importlib._bootstrap>", line 983, in _find_and_load
  File "<frozen importlib._bootstrap>", line 967, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 677, in _load_unlocked
  File "<frozen importlib._bootstrap_external>", line 724, in exec_module
  File "<frozen importlib._bootstrap_external>", line 859, in get_code
  File "<frozen importlib._bootstrap_external>", line 917, in get_data
  File "/home/airflow/.local/lib/python3.7/site-packages/airflow/utils/timeout.py", line 68, in handle_timeout
    raise AirflowTaskTimeout(self.error_message)
airflow.exceptions.AirflowTaskTimeout: DagBag import timeout for /opt/airflow/dags/mydag.py after 30.0s.
Please take a look at these docs to improve your DAG import time:
* https://airflow.apache.org/docs/apache-airflow/2.3.3/best-practices.html#top-level-python-code
* https://airflow.apache.org/docs/apache-airflow/2.3.3/best-practices.html#reducing-dag-complexity, PID: 7
```

### What you think should happen instead

_No response_

### How to reproduce

_No response_

### Anything else

_No response_

### Are you willing to submit 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)

sql_hook = self._get_hook()
        s3_conn = S3Hook(aws_conn_id=self.aws_conn_id, verify=self.verify)
        data_df = sql_hook.get_pandas_df(sql=self.query, parameters=self.parameters)
        self.log.info("Data from SQL obtained")
        self._fix_dtypes(data_df, self.file_format)
        file_options = FILE_OPTIONS_MAP[self.file_format]
        with NamedTemporaryFile(mode=file_options.mode, suffix=file_options.suffix) as tmp_file:
            self.log.info("Writing data to temp file")
            getattr(data_df, file_options.function)(tmp_file.name, **self.pd_kwargs)
            self.log.info("Uploading data to S3")
            s3_conn.load_file(
                filename=tmp_file.name, key=self.s3_key, bucket_name=self.s3_bucket, replace=self.replace
            )
    def _get_hook(self) -> DbApiHook:
        self.log.debug("Get connection for %s", self.sql_conn_id)
        conn = BaseHook.get_connection(self.sql_conn_id)
        hook = conn.get_hook()
        if not callable(getattr(hook, "get_pandas_df", None)):
            raise AirflowException(
                "This hook is not supported. The hook class must have get_pandas_df method."
            )
        return hook