Wrong inference type depending on how I read the file from S3

### Describe the bug, including details regarding any error messages, version, and platform.

If I download the file from s3 to my machine, I can read it using pandas:

```python
>>> df = pd.read_parquet(my_file)
>>> df.info()

RangeIndex: 77255 entries, 0 to 77254
Data columns (total 24 columns):
# Column Non-Null Count Dtype
--- ------ -------------- -----
0 doc_id 77255 non-null Int64
1 price_id 77255 non-null Int64
2 ean 77255 non-null object
3 preco_liquido 77255 non-null float64
4 rede 77255 non-null object
5 cnpj 77255 non-null object
** 6 tipo 77255 non-null object **
7 codestado 77255 non-null Int64
8 codcidade 77255 non-null Int64
9 descricao 77255 non-null object
10 desconto 77205 non-null float64
11 endereco_logradouro 77255 non-null object
12 endereco_numero 77255 non-null object
13 endereco_complemento 77255 non-null object
14 cep 77255 non-null object
15 bairro 77255 non-null object
16 latitude 77255 non-null float64
17 longitude 77255 non-null float64
18 nome_fantasia 77255 non-null object
19 telefone 77255 non-null object
20 segmento 77255 non-null object
21 fonte_coleta 77255 non-null object
22 pmc 0 non-null float64
23 composicao 77213 non-null object
dtypes: Int64(4), float64(5), object(15)
memory usage: 14.4+ MB
```

However, if I try to read it directly from s3, I get a type error:
```python
df = pd.read_parquet(f"s3://{bucket}/{my_file}", storage_options=dict(profile=aws_profile))
```

I get the following error:
```python
Traceback (most recent call last):
File "", line 1, in
File "/home/joao/Documents/ETL-concorrentes/.venv/lib/python3.12/site-packages/pandas/io/parquet.py", line 667, in read_parquet
return impl.read(
^^^^^^^^^^
File "/home/joao/Documents/ETL-concorrentes/.venv/lib/python3.12/site-packages/pandas/io/parquet.py", line 274, in read
pa_table = self.api.parquet.read_table(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/joao/Documents/ETL-concorrentes/.venv/lib/python3.12/site-packages/pyarrow/parquet/core.py", line 1793, in read_table
dataset = ParquetDataset(
^^^^^^^^^^^^^^^
File "/home/joao/Documents/ETL-concorrentes/.venv/lib/python3.12/site-packages/pyarrow/parquet/core.py", line 1371, in __init__
self._dataset = ds.dataset(path_or_paths, filesystem=filesystem,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/joao/Documents/ETL-concorrentes/.venv/lib/python3.12/site-packages/pyarrow/dataset.py", line 794, in dataset
return _filesystem_dataset(source, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/joao/Documents/ETL-concorrentes/.venv/lib/python3.12/site-packages/pyarrow/dataset.py", line 486, in _filesystem_dataset
return factory.finish(schema)
^^^^^^^^^^^^^^^^^^^^^^
File "pyarrow/_dataset.pyx", line 3126, in pyarrow._dataset.DatasetFactory.finish
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
pyarrow.lib.ArrowTypeError: Unable to merge: Field tipo has incompatible types: string vs dictionary
```

**EDIT**
Versions:
Pandas: 2.2.3
Pyarrow: 18.1.0
OS: Ubuntu 24.04.1 LTS

### Component(s)

Python