diff --git a/src/components/raw_to_bronze_transformer.py b/src/components/raw_to_bronze_transformer.py
index 93f9abc..3b06067 100644
--- a/src/components/raw_to_bronze_transformer.py
+++ b/src/components/raw_to_bronze_transformer.py
@@ -167,6 +167,49 @@ def fill_in_station_id_using_name(self, df: DataFrame) -> DataFrame:
 
         return df_filled
 
+    def fill_in_using_station_id(self, df: DataFrame) -> DataFrame:
+        # Create a mapping DataFrame with distinct non-null id and corresponding non-null values
+        mapping_df = (
+            df.filter(df["id"].isNotNull())
+            .select("id", "name", "latitude", "longitude")
+            .distinct()
+        )
+        mapping_df = (
+            mapping_df.withColumnRenamed("name", "mapped_name")
+            .withColumnRenamed("latitude", "mapped_latitude")
+            .withColumnRenamed("longitude", "mapped_longitude")
+        )
+
+        # Show the mapping DataFrame
+        mapping_df.show()
+
+        # Join the original DataFrame with the mapping DataFrame on the id column
+        df_filled = df.alias("df1").join(mapping_df.alias("df2"), on="id", how="left")
+
+        # Use coalesce to fill null values in the name, latitude, and longitude columns
+        df_filled = (
+            df_filled.withColumn(
+                "name", coalesce(df_filled["df1.name"], df_filled["mapped_name"])
+            )
+            .withColumn(
+                "latitude",
+                coalesce(df_filled["df1.latitude"], df_filled["mapped_latitude"]),
+            )
+            .withColumn(
+                "longitude",
+                coalesce(df_filled["df1.longitude"], df_filled["mapped_longitude"]),
+            )
+        )
+
+        # Drop the extra columns from the join
+        return (
+            df_filled.drop("mapped_name")
+            .drop("mapped_latitude")
+            .drop("mapped_longitude")
+            .dropDuplicates()
+            .dropna(how="any")
+        )
+
     def transform(self):
         logging.info("Reading raw delta table")
         df = self.read_raw_delta()
diff --git a/test/components/raw_to_bronze_transformer_test.py b/test/components/raw_to_bronze_transformer_test.py
index d6c5c99..fa3cb37 100644
--- a/test/components/raw_to_bronze_transformer_test.py
+++ b/test/components/raw_to_bronze_transformer_test.py
@@ -415,6 +415,7 @@ def test_drup_duplicates_and_all_nulls(
     assert isinstance(output, DataFrame)
     assert before - after == 3
 
+
 def test_fill_in_station_id_using_name(
     dataframe_2: DataFrame,
     transformer: RawToBronzeTransformer,
@@ -424,4 +425,22 @@ def test_fill_in_station_id_using_name(
     output = transformer.fill_in_station_id_using_name(output)
 
     assert isinstance(output, DataFrame)
-    assert output.filter(col("id").isNull()).count() is 0
\ No newline at end of file
+    assert output.filter(col("id").isNull()).count() is 0
+
+
+def test_fill_in_using_station_id(
+    dataframe_2: DataFrame,
+    transformer: RawToBronzeTransformer,
+):
+    output = transformer.get_station_dataframe(dataframe_2)
+    output = transformer.drup_duplicates_and_all_nulls(output)
+    output = transformer.fill_in_station_id_using_name(output)
+    output = transformer.fill_in_using_station_id(output)
+
+    assert isinstance(output, DataFrame)
+    assert (
+        output.filter(
+            col("name").isNull() | col("latitude").isNull() | col("longitude").isNull()
+        ).count()
+        is 0
+    )