diff --git a/src/dandi_s3_log_parser/_s3_log_file_parser.py b/src/dandi_s3_log_parser/_s3_log_file_parser.py
index 3ffb0e2..543ec2e 100644
--- a/src/dandi_s3_log_parser/_s3_log_file_parser.py
+++ b/src/dandi_s3_log_parser/_s3_log_file_parser.py
@@ -20,6 +20,7 @@
 from ._s3_log_line_parser import ReducedLogLine, _append_reduced_log_line
 from ._config import DANDI_S3_LOG_PARSER_BASE_FOLDER_PATH
 from ._buffered_text_reader import BufferedTextReader
+from ._order_parsed_logs import order_parsed_logs
 
 
 def parse_all_dandi_raw_s3_logs(
@@ -112,9 +113,11 @@ def asset_id_handler(*, raw_asset_id: str) -> str:
         task_id = uuid.uuid4()[:5]
         temporary_folder_path = temporary_base_folder_path / task_id
         temporary_folder_path.mkdir(exist_ok=True)
+        per_job_temporary_folder_paths = list()
         for job_index in range(number_of_jobs):
             per_job_temporary_folder_path = temporary_folder_path / f"job_{job_index}"
             per_job_temporary_folder_path.mkdir(exist_ok=True)
+            per_job_temporary_folder_paths.append(per_job_temporary_folder_path)
 
         maximum_ram_usage_in_bytes_per_job = maximum_ram_usage_in_bytes // number_of_jobs
 
@@ -145,8 +148,36 @@ def asset_id_handler(*, raw_asset_id: str) -> str:
             ):
                 pass
 
-        # TODO: merge results back to central (also temporary) folder
-        # TODO: order results chronologically
+        merged_temporary_folder_path = temporary_folder_path / "merged"
+        merged_temporary_folder_path.mkdir(exist_ok=True)
+
+        print("\n\nParallel parsing complete!\n\n")
+
+        for per_job_temporary_folder_path in tqdm.tqdm(
+            iterable=per_job_temporary_folder_paths,
+            desc="Merging results across jobs...",
+            total=len(per_job_temporary_folder_paths),
+            position=0,
+            leave=True,
+        ):
+            parsed_s3_log_file_paths = list(per_job_temporary_folder_path.iterdir())
+            for parsed_s3_log_file_path in tqdm.tqdm(
+                iterable=parsed_s3_log_file_paths,
+                desc="Merging results per job...",
+                total=len(parsed_s3_log_file_paths),
+                position=1,
+                leave=False,
+                mininterval=1.0,
+            ):
+                merged_temporary_file_path = merged_temporary_folder_path / parsed_s3_log_file_path.name
+
+                parsed_s3_log = pandas.read_table(filepath_or_buffer=parsed_s3_log_file_path, index_col=0)
+                parsed_s3_log.to_csv(path_or_buf=merged_temporary_file_path, mode="a", sep="\t")
+
+        order_parsed_logs(
+            unordered_parsed_s3_log_folder_path=merged_temporary_folder_path,
+            ordered_parsed_s3_log_folder_path=parsed_s3_log_folder_path,
+        )
 
     return None