diff --git a/ingestion_server/ingestion_server/cleanup.py b/ingestion_server/ingestion_server/cleanup.py
index bd36d120f51..b2faeb0a701 100644
--- a/ingestion_server/ingestion_server/cleanup.py
+++ b/ingestion_server/ingestion_server/cleanup.py
@@ -13,8 +13,10 @@
 import uuid
 from urllib.parse import urlparse
 
+import boto3
 import requests as re
 import tldextract
+from decouple import config
 from psycopg2.extras import DictCursor, Json
 
 from ingestion_server.db_helpers import database_connect
@@ -207,7 +209,7 @@ def test_tls_supported(cls, url):
             https = url.replace("http://", "https://")
             try:
                 res = re.get(https, timeout=2)
-                log.debug(f"tls_test - {https}:{res.status_code}")
+                log.info(f"tls_test - {https}:{res.status_code}")
                 return 200 <= res.status_code < 400
             except re.RequestException:
                 return False
@@ -300,6 +302,45 @@ def save_cleaned_data(result: dict) -> dict[str, int]:
     return cleanup_counts
 
 
+def _get_s3_resource():
+    if config("ENVIRONMENT", default="local") == "local":
+        return boto3.resource(
+            "s3",
+            endpoint_url=config("AWS_S3_ENDPOINT", default="http://s3:5000"),
+            aws_access_key_id=config("AWS_ACCESS_KEY_ID", default="test_key"),
+            aws_secret_access_key=config(
+                "AWS_SECRET_ACCESS_KEY", default="test_secret"
+            ),
+        )
+
+    return boto3.resource("s3", region_name=config("AWS_REGION", default="us-east-1"))
+
+
+def _upload_to_s3(fields):
+    bucket_name = config("OPENVERSE_BUCKET", default="openverse-catalog")
+    s3_path = "shared/data-refresh-cleaned-data"
+    try:
+        s3 = _get_s3_resource()
+        bucket = s3.Bucket(bucket_name)
+        bucket.load()
+        log.info(f"Connected to S3 and '{bucket_name}' bucket loaded.")
+    except Exception as e:
+        log.error(f"Upload failed. Error connecting to S3 or loading bucket: {e}")
+        return
+
+    for field in fields:
+        file_path = TMP_DIR.joinpath(f"{field}.tsv")
+        if not file_path.exists():
+            continue
+
+        try:
+            bucket.upload_file(file_path, f"{s3_path}/{field}.tsv")
+            log.info(f"Uploaded '{field}.tsv' to S3.")
+            file_path.unlink()
+        except Exception as e:
+            log.error(f"Error uploading '{field}.tsv' to S3: {e}")
+
+
 def clean_image_data(table):
     """
     Clean up data loaded from upstream that is unsuitable for prod before going live.
@@ -395,6 +436,7 @@ def clean_image_data(table):
     conn.commit()
     iter_cur.close()
     conn.close()
+    _upload_to_s3(cleanable_fields_for_table)
     end_time = time.perf_counter()
     cleanup_time = end_time - start_time
     log.info(