diff --git a/python/pyspark/serializers.py b/python/pyspark/serializers.py
index fc0828b06a234..ddca2a71828ac 100644
--- a/python/pyspark/serializers.py
+++ b/python/pyspark/serializers.py
@@ -296,8 +296,7 @@ def create_array(s, t):
             mask = s.isnull()
             # Ensure timestamp series are in expected form for Spark internal representation
             if t is not None and pa.types.is_timestamp(t):
-                s = _check_series_convert_timestamps_internal(s.fillna(0), self._timezone)
-
+                s = _check_series_convert_timestamps_internal(s, self._timezone)
             try:
                 array = pa.Array.from_pandas(s, mask=mask, type=t, safe=self._safecheck)
             except pa.ArrowException as e:
diff --git a/python/pyspark/sql/tests/test_arrow.py b/python/pyspark/sql/tests/test_arrow.py
index 067113722adb5..1361c0c2d1f55 100644
--- a/python/pyspark/sql/tests/test_arrow.py
+++ b/python/pyspark/sql/tests/test_arrow.py
@@ -383,6 +383,15 @@ def test_timestamp_dst(self):
         assert_frame_equal(pdf, df_from_python.toPandas())
         assert_frame_equal(pdf, df_from_pandas.toPandas())
 
+    # Regression test for SPARK-28003
+    def test_timestamp_nat(self):
+        dt = [pd.NaT, pd.Timestamp('2019-06-11'), None] * 100
+        pdf = pd.DataFrame({'time': dt})
+        df_no_arrow, df_arrow = self._createDataFrame_toggle(pdf)
+
+        assert_frame_equal(pdf, df_no_arrow.toPandas())
+        assert_frame_equal(pdf, df_arrow.toPandas())
+
     def test_toPandas_batch_order(self):
 
         def delay_first_part(partition_index, iterator):