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diff --git a/tools/run_tests/performance/bq_upload_result.py b/tools/run_tests/performance/bq_upload_result.py
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+++ b/tools/run_tests/performance/bq_upload_result.py
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+#!/usr/bin/env python2.7
+# Copyright 2016, Google Inc.
+# All rights reserved.
+#
+# Redistribution and use in source and binary forms, with or without
+# modification, are permitted provided that the following conditions are
+# met:
+#
+#     * Redistributions of source code must retain the above copyright
+# notice, this list of conditions and the following disclaimer.
+#     * Redistributions in binary form must reproduce the above
+# copyright notice, this list of conditions and the following disclaimer
+# in the documentation and/or other materials provided with the
+# distribution.
+#     * Neither the name of Google Inc. nor the names of its
+# contributors may be used to endorse or promote products derived from
+# this software without specific prior written permission.
+#
+# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+# "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+# LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+# A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
+# OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
+# SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
+# LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
+# DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
+# THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+# Uploads performance benchmark result file to bigquery.
+
+import argparse
+import calendar
+import json
+import os
+import sys
+import time
+import uuid
+
+
+gcp_utils_dir = os.path.abspath(os.path.join(
+    os.path.dirname(__file__), '../../gcp/utils'))
+sys.path.append(gcp_utils_dir)
+import big_query_utils
+
+
+_PROJECT_ID='grpc-testing'
+
+
+def _upload_scenario_result_to_bigquery(dataset_id, table_id, result_file):
+  bq = big_query_utils.create_big_query()
+  _create_results_table(bq, dataset_id, table_id)
+
+  with open(result_file, 'r') as f:
+    scenario_result = json.loads(f.read())
+
+  if not _insert_result(bq, dataset_id, table_id, scenario_result):
+    print 'Error uploading result to bigquery.'
+    sys.exit(1)
+
+
+def _insert_result(bq, dataset_id, table_id, scenario_result):
+  _flatten_result_inplace(scenario_result)
+  _populate_metadata_inplace(scenario_result)
+  row = big_query_utils.make_row(str(uuid.uuid4()), scenario_result)
+  return big_query_utils.insert_rows(bq,
+                                     _PROJECT_ID,
+                                     dataset_id,
+                                     table_id,
+                                     [row])
+
+
+def _create_results_table(bq, dataset_id, table_id):
+  with open(os.path.dirname(__file__) + '/scenario_result_schema.json', 'r') as f:
+    table_schema = json.loads(f.read())
+  desc = 'Results of performance benchmarks.'
+  return big_query_utils.create_table2(bq, _PROJECT_ID, dataset_id,
+                               table_id, table_schema, desc)
+
+
+def _flatten_result_inplace(scenario_result):
+  """Bigquery is not really great for handling deeply nested data
+  and repeated fields. To maintain values of some fields while keeping
+  the schema relatively simple, we artificially leave some of the fields
+  as JSON strings.
+  """
+  scenario_result['scenario']['clientConfig'] = json.dumps(scenario_result['scenario']['clientConfig'])
+  scenario_result['scenario']['serverConfig'] = json.dumps(scenario_result['scenario']['serverConfig'])
+  scenario_result['latencies'] = json.dumps(scenario_result['latencies'])
+  for stats in scenario_result['clientStats']:
+    stats['latencies'] = json.dumps(stats['latencies'])
+  scenario_result['serverCores'] = json.dumps(scenario_result['serverCores'])
+
+
+def _populate_metadata_inplace(scenario_result):
+  """Populates metadata based on environment variables set by Jenkins."""
+  # NOTE: Grabbing the Jenkins environment variables will only work if the
+  # driver is running locally on the same machine where Jenkins has started
+  # the job. For our setup, this is currently the case, so just assume that.
+  build_number = os.getenv('BUILD_NUMBER')
+  build_url = os.getenv('BUILD_URL')
+  job_name = os.getenv('JOB_NAME')
+  git_commit = os.getenv('GIT_COMMIT')
+  # actual commit is the actual head of PR that is getting tested
+  git_actual_commit = os.getenv('ghprbActualCommit')
+
+  utc_timestamp = str(calendar.timegm(time.gmtime()))
+  metadata = {'created': utc_timestamp}
+
+  if build_number:
+    metadata['buildNumber'] = build_number
+  if build_url:
+    metadata['buildUrl'] = build_url
+  if job_name:
+    metadata['jobName'] = job_name
+  if git_commit:
+    metadata['gitCommit'] = git_commit
+  if git_actual_commit:
+    metadata['gitActualCommit'] = git_actual_commit
+
+  scenario_result['metadata'] = metadata
+
+
+argp = argparse.ArgumentParser(description='Upload result to big query.')
+argp.add_argument('--bq_result_table', required=True, default=None, type=str,
+                  help='Bigquery "dataset.table" to upload results to.')
+argp.add_argument('--file_to_upload', default='scenario_result.json', type=str,
+                  help='Report file to upload.')
+
+args = argp.parse_args()
+
+dataset_id, table_id = args.bq_result_table.split('.', 2)
+_upload_scenario_result_to_bigquery(dataset_id, table_id, args.file_to_upload)
+print 'Successfully uploaded %s to BigQuery.\n' % args.file_to_upload