### Apache Airflow version

Other Airflow 2 version (please specify below)
Airflow 2.4.2

### What happened

BaseSQLToGCSOperator creates row group for each rows during parquet generation, which cause compression not work and increase file size.
![image](https://github.com/apache/airflow/assets/51909776/bf256065-c130-4354-81c7-8ca2ed4e8d93)


### What you think should happen instead

_No response_

### How to reproduce

OracleToGCSOperator(
        task_id='oracle_to_gcs_parquet_test',
        gcp_conn_id=GCP_CONNECTION,
        oracle_conn_id=ORACLE_CONNECTION,
        sql='',
        bucket=GCS_BUCKET_NAME,
        filename='',
        export_format='parquet',
)

### Operating System

CentOS Linux 7

### Versions of Apache Airflow Providers

apache-airflow-providers-apache-hive  2.1.0
apache-airflow-providers-apache-sqoop 2.0.2
apache-airflow-providers-celery       3.0.0
apache-airflow-providers-common-sql   1.2.0
apache-airflow-providers-ftp          3.1.0
apache-airflow-providers-google       8.4.0
apache-airflow-providers-http         4.0.0
apache-airflow-providers-imap         3.0.0
apache-airflow-providers-mysql        3.0.0
apache-airflow-providers-oracle       2.1.0
apache-airflow-providers-salesforce   5.3.0
apache-airflow-providers-sqlite       3.2.1

### Deployment

Official Apache Airflow Helm Chart

### Deployment details

_No response_

### Anything else

_No response_

### Are you willing to submit PR?

- [ ] 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)

files = []
        total_row_count = 0
        total_files = 0
        self.log.info("Writing local data files")
        for file_to_upload in self._write_local_data_files(cursor):
            
            file_to_upload["file_handle"].flush()
            self.log.info("Uploading chunk file #%d to GCS.", counter)
            self._upload_to_gcs(file_to_upload)
            self.log.info("Removing local file")
            file_to_upload["file_handle"].close()
            
            total_row_count += file_to_upload["file_row_count"]
            total_files += 1
            files.append(
                {
                    "file_name": file_to_upload["file_name"],
                    "file_mime_type": file_to_upload["file_mime_type"],
                    "file_row_count": file_to_upload["file_row_count"],
                }
            )
            counter += 1
        file_meta = {
            "bucket": self.bucket,
            "total_row_count": total_row_count,
            "total_files": total_files,
            "files": files,
        }
        return file_meta
    def convert_types(self, schema, col_type_dict, row) -> list: