Glue ETL job write part-r-00 files to same bucket as my input. Any way to change this?

I read in files from an S3 bucket, convert to a Spark DataFrame, transform, convert back to a Dyanmic DataFrame and then write to Data Catalog. This creates a bunch of part-r-00 files in the same bucket as my input so then my script then tries to read and process those files as well! Does it have to create these files? Is it possible to set a different bucket for these files? If not is it possible to have my ETL only read files that end in .csv?

S3bucket_node1 = glueContext.create_dynamic_frame.from_options(
    format_options={"quoteChar": '"', "withHeader": True, "separator": ","},
    connection_type="s3",
    format="csv",
    connection_options={"paths": ["s3://bpf-load-forecast/lfo_data/"], "recurse": True},
    transformation_ctx="S3bucket_node1",
)
.
# convert from Dynamic DataFrame to Spark DataFrame
.
.
# transformations
.
.
# convert from Spark DataFrame to Dyanmic DataFrame
.
.
DataCatalogtable_node2 = glueContext.write_dynamic_frame.from_catalog(
    frame = dynamic_df,
    database = db_name,
    table_name = tbl_name,
    transformation_ctx = "DataCatalogtable_node2",
)