diff --git a/posthog/temporal/workflows/bigquery_batch_export.py b/posthog/temporal/workflows/bigquery_batch_export.py
index a680ff9102d58..f45b67b02264e 100644
--- a/posthog/temporal/workflows/bigquery_batch_export.py
+++ b/posthog/temporal/workflows/bigquery_batch_export.py
@@ -1,5 +1,5 @@
-import contextlib
 import asyncio
+import contextlib
 import dataclasses
 import datetime as dt
 import json
@@ -31,7 +31,7 @@
 from posthog.temporal.workflows.metrics import get_bytes_exported_metric, get_rows_exported_metric
 
 
-def load_jsonl_file_to_bigquery_table(jsonl_file, table, table_schema, bigquery_client):
+async def load_jsonl_file_to_bigquery_table(jsonl_file, table, table_schema, bigquery_client):
     """Execute a COPY FROM query with given connection to copy contents of jsonl_file."""
     job_config = bigquery.LoadJobConfig(
         source_format="NEWLINE_DELIMITED_JSON",
@@ -39,10 +39,10 @@ def load_jsonl_file_to_bigquery_table(jsonl_file, table, table_schema, bigquery_
     )
 
     load_job = bigquery_client.load_table_from_file(jsonl_file, table, job_config=job_config, rewind=True)
-    load_job.result()
+    await asyncio.to_thread(load_job.result)
 
 
-def create_table_in_bigquery(
+async def create_table_in_bigquery(
     project_id: str,
     dataset_id: str,
     table_id: str,
@@ -54,7 +54,7 @@ def create_table_in_bigquery(
     fully_qualified_name = f"{project_id}.{dataset_id}.{table_id}"
     table = bigquery.Table(fully_qualified_name, schema=table_schema)
     table.time_partitioning = bigquery.TimePartitioning(type_=bigquery.TimePartitioningType.DAY, field="timestamp")
-    table = bigquery_client.create_table(table, exists_ok=exists_ok)
+    table = await asyncio.to_thread(bigquery_client.create_table, table, exists_ok=exists_ok)
 
     return table
 
@@ -191,7 +191,7 @@ async def worker_shutdown_handler():
         asyncio.create_task(worker_shutdown_handler())
 
         with bigquery_client(inputs) as bq_client:
-            bigquery_table = create_table_in_bigquery(
+            bigquery_table = await create_table_in_bigquery(
                 inputs.project_id,
                 inputs.dataset_id,
                 inputs.table_id,
@@ -203,13 +203,13 @@ async def worker_shutdown_handler():
                 rows_exported = get_rows_exported_metric()
                 bytes_exported = get_bytes_exported_metric()
 
-                def flush_to_bigquery():
+                async def flush_to_bigquery():
                     logger.debug(
                         "Loading %s records of size %s bytes",
                         jsonl_file.records_since_last_reset,
                         jsonl_file.bytes_since_last_reset,
                     )
-                    load_jsonl_file_to_bigquery_table(jsonl_file, bigquery_table, table_schema, bq_client)
+                    await load_jsonl_file_to_bigquery_table(jsonl_file, bigquery_table, table_schema, bq_client)
 
                     rows_exported.add(jsonl_file.records_since_last_reset)
                     bytes_exported.add(jsonl_file.bytes_since_last_reset)
@@ -238,6 +238,8 @@ def flush_to_bigquery():
                     last_inserted_at = result["inserted_at"]
                     activity.heartbeat(last_inserted_at)
 
+                    jsonl_file.reset()
+
 
 @workflow.defn(name="bigquery-export")
 class BigQueryBatchExportWorkflow(PostHogWorkflow):