Something is wrong, the local load takes longer than the S3 load from a bad connection

awswrangler.py

# How can I be faster?

# Setup a session with credentials
boto3_session = BarUtils.boto_session(
    aws_access_key_id=s3_key,
    aws_secret_access_key=s3_secret,
)

df = wr.s3.read_parquet(
    path=path,
    dataset=True,
    columns=columns + index_columns,
    partition_filter=filters,
    boto3_session=boto3_session,
    use_threads=True,
)

pyarrow.py

# How can I be slower? I am Parquet v2.

dataset = pq.ParquetDataset(
    path_or_paths=path,
    filesystem=filesystem,
    filters=filters,
    use_legacy_dataset=False,
)
table = dataset.read_pandas(
    columns=columns + index_columns,
    use_threads=True,
)
df = table.to_pandas(
    use_threads=True,
)