diff --git a/modules/connectors/connectorSharepoint.py b/modules/connectors/connectorSharepoint.py
index 0b1c8370..b5eaa703 100644
--- a/modules/connectors/connectorSharepoint.py
+++ b/modules/connectors/connectorSharepoint.py
@@ -152,8 +152,7 @@ class ConnectorSharepoint:
             bool: True if successful, False otherwise
         """
         target_folder = self.ctx.web.get_folder_by_server_relative_url(folder_path)
-        buffer = BytesIO(content)
-        target_folder.files.upload(buffer, file_name).execute_query()
+        target_folder.upload_file(file_name, content).execute_query()
         return True
 
     async def overwrite_file_async(
diff --git a/modules/interfaces/interfaceTicketObjects.py b/modules/interfaces/interfaceTicketObjects.py
index 4ae4051e..d65e3457 100644
--- a/modules/interfaces/interfaceTicketObjects.py
+++ b/modules/interfaces/interfaceTicketObjects.py
@@ -1,5 +1,5 @@
 from dataclasses import dataclass
-from io import BytesIO
+from io import BytesIO, StringIO
 from typing import Any
 import pandas as pd
 from modules.shared.timezoneUtils import get_utc_now
@@ -251,8 +251,8 @@ class TicketSharepointSyncInterface:
                             "" if jira_value is None else str(jira_value).strip()
                         )
 
-                        # Only include if values are different and CSV has non-empty value
-                        if csv_value != jira_value and csv_value:
+                        # Include if values are different (allow empty strings to clear fields like the reference does)
+                        if csv_value != jira_value:
                             task_changes[field_name] = csv_value
 
                 if task_changes:
@@ -538,7 +538,7 @@ class TicketSharepointSyncInterface:
             [header_row1, header_row2, table_headers, df], ignore_index=True
         )
 
-        # Convert to CSV bytes
-        csv_buffer = BytesIO()
-        final_df.to_csv(csv_buffer, index=False, header=False)
-        return csv_buffer.getvalue()
+        # Convert to CSV bytes (write text, then encode)
+        csv_text = StringIO()
+        final_df.to_csv(csv_text, index=False, header=False)
+        return csv_text.getvalue().encode("utf-8")