diff --git a/dagster_university/assets/trips.py b/dagster_university/assets/trips.py
index 8b9ad86..cf2eb39 100644
--- a/dagster_university/assets/trips.py
+++ b/dagster_university/assets/trips.py
@@ -1,9 +1,7 @@
 from io import BytesIO
-import os
 
 import pandas as pd
 import requests
-import boto3
 from dagster import AssetExecutionContext, MaterializeResult, MetadataValue, asset
 from dagster_duckdb import DuckDBResource
 from smart_open import open
@@ -23,24 +21,10 @@ def taxi_zones_file() -> MaterializeResult:
         "https://data.cityofnewyork.us/api/views/755u-8jsi/rows.csv?accessType=DOWNLOAD"
     )
 
-    if os.getenv("DAGSTER_ENVIRONMENT") == "prod":
-        s3_client = boto3.client(
-            region_name=os.getenv("AWS_REGION"),
-            aws_access_key_id=os.getenv("AWS_ACCESS_KEY_ID"),
-            aws_secret_access_key=os.getenv("AWS_SECRET_ACCESS_KEY")
-        )
-
-        s3_client.put_object(
-            Bucket=os.getenv("S3_BUCKET_PREFIX"),
-            Key=constants.TAXI_ZONES_FILE_PATH,
-            Body=raw_taxi_zones.content
-        )
-
-    else:
-        with open(
-            constants.TAXI_ZONES_FILE_PATH, "wb", transport_params=smart_open_config
-        ) as output_file:
-            output_file.write(raw_taxi_zones.content)
+    with open(
+        constants.TAXI_ZONES_FILE_PATH, "wb", transport_params=smart_open_config
+    ) as output_file:
+        output_file.write(raw_taxi_zones.content)
 
     num_rows = len(pd.read_csv(BytesIO(raw_taxi_zones.content)))
     return MaterializeResult(metadata={"Number of records": MetadataValue.int(num_rows)})