diff --git a/src/handlers/site_upload/powerset_merge.py b/src/handlers/site_upload/powerset_merge.py
index b5273d0..e65a41f 100644
--- a/src/handlers/site_upload/powerset_merge.py
+++ b/src/handlers/site_upload/powerset_merge.py
@@ -194,6 +194,29 @@ def expand_and_concat_sets(
     return agg_df
 
 
+def generate_csv_from_parquet(bucket_name: str, bucket_root: str, subbucket_path: str):
+    """Convenience function for generating csvs for dashboard upload
+
+    TODO: Remove on dashboard parquet/API support"""
+    last_valid_df = awswrangler.s3.read_parquet(
+        f"s3://{bucket_name}/{bucket_root}" f"/{subbucket_path}"
+    )
+    last_valid_df = last_valid_df.apply(
+        lambda x: x.strip() if isinstance(x, str) else x
+    ).replace('""', nan)
+    # Here we are removing internal commas from fields so we get a valid unquoted CSV
+    last_valid_df = last_valid_df.replace(to_replace=",", value="", regex=True)
+    awswrangler.s3.to_csv(
+        last_valid_df,
+        (
+            f"s3://{bucket_name}/{bucket_root}/"
+            f"{subbucket_path}".replace(".parquet", ".csv")
+        ),
+        index=False,
+        quoting=csv.QUOTE_NONE,
+    )
+
+
 def merge_powersets(manager: S3Manager) -> None:
     """Creates an aggregate powerset from all files with a given s3 prefix"""
     # TODO: this should be memory profiled for large datasets. We can use
@@ -258,29 +281,15 @@ def merge_powersets(manager: S3Manager) -> None:
                 f"{BucketPath.LATEST.value}/{subbucket_path}",
                 f"{BucketPath.LAST_VALID.value}/{subbucket_path}",
             )
+
             ####################
             # For now, we'll create a csv of the file we just put in last valid.
-            # This is occasionally useful for uploading to the dashboard.
+            # This is used for uploading to the dashboard.
             # TODO: remove as soon as we support either parquet upload or
             # the API is supported by the dashboard
-            last_valid_df = awswrangler.s3.read_parquet(
-                f"s3://{manager.s3_bucket_name}/{BucketPath.LAST_VALID.value}"
-                f"/{subbucket_path}"
+            generate_csv_from_parquet(
+                manager.s3_bucket_name, BucketPath.LAST_VALID.value, subbucket_path
             )
-            last_valid_df = last_valid_df.apply(
-                lambda x: x.strip() if isinstance(x, str) else x
-            ).replace('""', nan)
-            last_valid_df = last_valid_df.replace(to_replace=r",", value="", regex=True)
-            awswrangler.s3.to_csv(
-                last_valid_df,
-                (
-                    f"s3://{manager.s3_bucket_name}/{BucketPath.LAST_VALID.value}/"
-                    f"{subbucket_path}".replace(".parquet", ".csv")
-                ),
-                index=False,
-                quoting=csv.QUOTE_NONE,
-            )
-
             ####################
 
             latest_site = site_specific_name.split("/", maxsplit=1)[0]
diff --git a/tests/site_upload/test_powerset_merge.py b/tests/site_upload/test_powerset_merge.py
index eedffc1..52fbed8 100644
--- a/tests/site_upload/test_powerset_merge.py
+++ b/tests/site_upload/test_powerset_merge.py
@@ -15,6 +15,7 @@
 from src.handlers.site_upload.powerset_merge import (
     MergeError,
     expand_and_concat_sets,
+    generate_csv_from_parquet,
     powerset_merge_handler,
 )
 from tests.utils import (
@@ -347,3 +348,24 @@ def test_expand_and_concat(mock_bucket, upload_file, load_empty, raises):
             s3_path,
         )
         expand_and_concat_sets(df, f"s3://{TEST_BUCKET}/{s3_path}", EXISTING_STUDY)
+
+
+def test_parquet_to_csv(mock_bucket):
+    bucket_root = "test"
+    subbucket_path = "/uploaded.parquet"
+    s3_client = boto3.client("s3", region_name="us-east-1")
+    s3_client.upload_file(
+        "./tests/test_data/cube_strings_with_commas.parquet",
+        TEST_BUCKET,
+        f"{bucket_root}/{subbucket_path}",
+    )
+    generate_csv_from_parquet(TEST_BUCKET, bucket_root, subbucket_path)
+    df = awswrangler.s3.read_csv(
+        f"s3://{TEST_BUCKET}/{bucket_root}/{subbucket_path.replace('.parquet','.csv')}"
+    )
+    assert list(df["race"].dropna().unique()) == [
+        "White",
+        "Black or African American",
+        "Asian",
+        "American Indian or Alaska Native",
+    ]