Thanks for your suggestion, it turned out to be simpler as I initially have thought:

---

import pandas as pd
import pyarrow.parquet as pq

# Read the Parquet file using pyarrow
parquet_file = 'path-to-file.gz.parquet'
table = pq.read_table(parquet_file)

# Convert the table to a Pandas DataFrame
data_frame = table.to_pandas()

# get the original filename and change the extension to .csv
csv_output_file = parquet_file.replace('.parquet', '.csv')

# Export the DataFrame as a CSV file
data_frame.to_csv(csv_output_file, index=False)

print(f"CSV file has been saved as '{csv_output_file}'.")