diff --git a/python/pyspark/pandas/resample.py b/python/pyspark/pandas/resample.py
index 30f8c9d31695e..0d2c3cc753cd1 100644
--- a/python/pyspark/pandas/resample.py
+++ b/python/pyspark/pandas/resample.py
@@ -67,7 +67,6 @@
     scol_for,
     verify_temp_column_name,
 )
-from pyspark.sql.utils import is_remote
 from pyspark.pandas.spark.functions import timestampdiff
 
 
@@ -145,22 +144,15 @@ def _agg_columns_scols(self) -> List[Column]:
     def get_make_interval(  # type: ignore[return]
         self, unit: str, col: Union[Column, int, float]
     ) -> Column:
-        if is_remote():
-            from pyspark.sql.connect.functions import lit, make_interval
-
-            col = col if not isinstance(col, (int, float)) else lit(col)  # type: ignore[assignment]
-            if unit == "MONTH":
-                return make_interval(months=col)  # type: ignore
-            if unit == "HOUR":
-                return make_interval(hours=col)  # type: ignore
-            if unit == "MINUTE":
-                return make_interval(mins=col)  # type: ignore
-            if unit == "SECOND":
-                return make_interval(secs=col)  # type: ignore
-        else:
-            sql_utils = SparkContext._active_spark_context._jvm.PythonSQLUtils
-            col = col._jc if isinstance(col, Column) else F.lit(col)._jc
-            return sql_utils.makeInterval(unit, col)
+        col = col if not isinstance(col, (int, float)) else F.lit(col)  # type: ignore[assignment]
+        if unit == "MONTH":
+            return F.make_interval(months=col)  # type: ignore
+        if unit == "HOUR":
+            return F.make_interval(hours=col)  # type: ignore
+        if unit == "MINUTE":
+            return F.make_interval(mins=col)  # type: ignore
+        if unit == "SECOND":
+            return F.make_interval(secs=col)  # type: ignore
 
     def _bin_timestamp(self, origin: pd.Timestamp, ts_scol: Column) -> Column:
         key_type = self._resamplekey_type