diff --git a/metadata-ingestion/src/datahub/ingestion/source/ge_data_profiler.py b/metadata-ingestion/src/datahub/ingestion/source/ge_data_profiler.py
index cac5e7dfe9..ba5e60a335 100644
--- a/metadata-ingestion/src/datahub/ingestion/source/ge_data_profiler.py
+++ b/metadata-ingestion/src/datahub/ingestion/source/ge_data_profiler.py
@@ -677,7 +677,10 @@ class DatahubGEProfiler:
             yield GEContext(data_context, datasource_name)
 
     def generate_profiles(
-        self, requests: List[GEProfilerRequest], max_workers: int
+        self,
+        requests: List[GEProfilerRequest],
+        max_workers: int,
+        platform: Optional[str] = None,
     ) -> Iterable[Tuple[GEProfilerRequest, Optional[DatasetProfileClass]]]:
         with PerfTimer() as timer, concurrent.futures.ThreadPoolExecutor(
             max_workers=max_workers
@@ -704,6 +707,7 @@ class DatahubGEProfiler:
                             self._generate_profile_from_request,
                             query_combiner,
                             request,
+                            platform=platform,
                         )
                         for request in requests
                     ]
@@ -751,10 +755,12 @@ class DatahubGEProfiler:
         self,
         query_combiner: SQLAlchemyQueryCombiner,
         request: GEProfilerRequest,
+        platform: Optional[str] = None,
     ) -> Tuple[GEProfilerRequest, Optional[DatasetProfileClass]]:
         return request, self._generate_single_profile(
             query_combiner=query_combiner,
             pretty_name=request.pretty_name,
+            platform=platform,
             **request.batch_kwargs,
         )
 
@@ -781,6 +787,7 @@ class DatahubGEProfiler:
         table: str = None,
         partition: Optional[str] = None,
         custom_sql: Optional[str] = None,
+        platform: Optional[str] = None,
         **kwargs: Any,
     ) -> Optional[DatasetProfileClass]:
         bigquery_temp_table: Optional[str] = None
@@ -820,6 +827,7 @@ class DatahubGEProfiler:
                     ge_context,
                     ge_config,
                     pretty_name=pretty_name,
+                    platform=platform,
                 )
 
                 profile = _SingleDatasetProfiler(
@@ -852,6 +860,7 @@ class DatahubGEProfiler:
         ge_context: GEContext,
         batch_kwargs: dict,
         pretty_name: str,
+        platform: Optional[str] = None,
     ) -> Dataset:
         # This is effectively emulating the beginning of the process that
         # is followed by GE itself. In particular, we simply want to construct
@@ -878,4 +887,12 @@ class DatahubGEProfiler:
                 **batch_kwargs,
             },
         )
+        if platform is not None and platform == "bigquery":
+            name_parts = pretty_name.split(".")
+            if len(name_parts) != 3:
+                logger.error(
+                    f"Unexpected {pretty_name} while profiling. Should have 3 parts but has {len(name_parts)} parts."
+                )
+            else:
+                batch.engine.dialect.dataset_id = name_parts[1]
         return batch
diff --git a/metadata-ingestion/src/datahub/ingestion/source/sql/sql_common.py b/metadata-ingestion/src/datahub/ingestion/source/sql/sql_common.py
index 59d226b5f0..8f540884ef 100644
--- a/metadata-ingestion/src/datahub/ingestion/source/sql/sql_common.py
+++ b/metadata-ingestion/src/datahub/ingestion/source/sql/sql_common.py
@@ -730,7 +730,9 @@ class SQLAlchemySource(StatefulIngestionSourceBase):
                     )
 
             if profiler and profile_requests:
-                yield from self.loop_profiler(profile_requests, profiler)
+                yield from self.loop_profiler(
+                    profile_requests, profiler, platform=self.platform
+                )
 
         if self.is_stateful_ingestion_configured():
             # Clean up stale entities.
@@ -1329,10 +1331,13 @@ class SQLAlchemySource(StatefulIngestionSourceBase):
             )
 
     def loop_profiler(
-        self, profile_requests: List["GEProfilerRequest"], profiler: "DatahubGEProfiler"
+        self,
+        profile_requests: List["GEProfilerRequest"],
+        profiler: "DatahubGEProfiler",
+        platform: Optional[str] = None,
     ) -> Iterable[MetadataWorkUnit]:
         for request, profile in profiler.generate_profiles(
-            profile_requests, self.config.profiling.max_workers
+            profile_requests, self.config.profiling.max_workers, platform=platform
         ):
             if profile is None:
                 continue