diff --git a/packages/cubejs-schema-compiler/src/adapter/BigqueryQuery.ts b/packages/cubejs-schema-compiler/src/adapter/BigqueryQuery.ts
index c13e26d224f37..1bf6d7288406f 100644
--- a/packages/cubejs-schema-compiler/src/adapter/BigqueryQuery.ts
+++ b/packages/cubejs-schema-compiler/src/adapter/BigqueryQuery.ts
@@ -42,7 +42,7 @@ export class BigqueryQuery extends BaseQuery {
   }
 
   public convertTz(field) {
-    return `DATETIME(${this.timeStampCast(field)}, '${this.timezone}')`;
+    return `DATETIME(${field}, '${this.timezone}')`;
   }
 
   public timeStampCast(value) {
@@ -263,7 +263,7 @@ export class BigqueryQuery extends BaseQuery {
     templates.expressions.binary = '{% if op == \'%\' %}MOD({{ left }}, {{ right }}){% else %}({{ left }} {{ op }} {{ right }}){% endif %}';
     templates.expressions.interval = 'INTERVAL {{ interval }}';
     templates.expressions.extract = 'EXTRACT({% if date_part == \'DOW\' %}DAYOFWEEK{% elif date_part == \'DOY\' %}DAYOFYEAR{% else %}{{ date_part }}{% endif %} FROM {{ expr }})';
-    templates.expressions.timestamp_literal = 'DATETIME(TIMESTAMP(\'{{ value }}\'))';
+    templates.expressions.timestamp_literal = 'TIMESTAMP(\'{{ value }}\')';
     delete templates.expressions.ilike;
     delete templates.expressions.like_escape;
     templates.filters.like_pattern = 'CONCAT({% if start_wild %}\'%\'{% else %}\'\'{% endif %}, LOWER({{ value }}), {% if end_wild %}\'%\'{% else %}\'\'{% endif %})';
diff --git a/packages/cubejs-schema-compiler/test/unit/base-query.test.ts b/packages/cubejs-schema-compiler/test/unit/base-query.test.ts
index 3fc1822f338c4..8fc796637642c 100644
--- a/packages/cubejs-schema-compiler/test/unit/base-query.test.ts
+++ b/packages/cubejs-schema-compiler/test/unit/base-query.test.ts
@@ -1012,6 +1012,73 @@ describe('SQL Generation', () => {
       })
     );
 
+    it('BigQuery timestamp literal regression test - should not double-wrap DATETIME(TIMESTAMP())', async () => {
+      await compilers.compiler.compile();
+
+      const query = new BigqueryQuery(compilers, {
+        measures: [
+          'cards.count'
+        ],
+        timeDimensions: [{
+          dimension: 'cards.createdAt',
+          granularity: 'day',
+          dateRange: ['2025-06-03', '2025-06-10']
+        }],
+        filters: [],
+        timezone: 'UTC'
+      });
+
+      const queryAndParams = query.buildSqlAndParams();
+      const sql = queryAndParams[0];
+      
+      // Should contain TIMESTAMP() but NOT DATETIME(TIMESTAMP())
+      expect(sql).toContain('TIMESTAMP(');
+      expect(sql).not.toContain('DATETIME(TIMESTAMP(');
+      // Should contain correct BigQuery timestamp comparison syntax with parameters
+      expect(sql).toContain('TIMESTAMP(?)');
+      // Should contain the properly formatted DATETIME function without double wrapping
+      expect(sql).toContain('DATETIME(`cards`.created_at, \'UTC\')');
+    });
+
+    it('BigQuery SQL pushdown timestamp literal test - should not double-wrap DATETIME(TIMESTAMP())', async () => {
+      await compilers.compiler.compile();
+
+      const query = new BigqueryQuery(compilers, {
+        measures: [
+          'cards.count'
+        ],
+        timeDimensions: [{
+          dimension: 'cards.createdAt',
+          granularity: 'day',
+          dateRange: ['2025-06-03', '2025-06-10']
+        }],
+        filters: [{
+          member: 'cards.createdAt',
+          operator: 'inDateRange',
+          values: ['2025-06-03', '2025-06-10']
+        }],
+        timezone: 'UTC',
+        // Simulate SQL pushdown scenario with external query context
+        ungrouped: true
+      });
+
+      const queryAndParams = query.buildSqlAndParams();
+      const sql = queryAndParams[0];
+      
+      console.log('Generated SQL pushdown:', sql);
+      
+      // Should contain TIMESTAMP() but NOT DATETIME(TIMESTAMP()) in pushdown context
+      expect(sql).toContain('TIMESTAMP(');
+      expect(sql).not.toContain('DATETIME(TIMESTAMP(');
+      // Should contain correct BigQuery timestamp comparison syntax with parameters
+      expect(sql).toContain('TIMESTAMP(?)');
+      // Should contain the properly formatted DATETIME function without double wrapping
+      expect(sql).toContain('DATETIME(`cards`.created_at, \'UTC\')');
+      // Should handle date range filters correctly in pushdown context
+      expect(sql).toMatch(/DATETIME\(`cards`\.created_at, 'UTC'\) >= TIMESTAMP\(\?\)/);
+      expect(sql).toMatch(/DATETIME\(`cards`\.created_at, 'UTC'\) <= TIMESTAMP\(\?\)/);
+    });
+
     it('Test time series with 6 digits timestamp precision - bigquery', async () => {
       await compilers.compiler.compile();
 
diff --git a/rust/cubesql/cubesql/src/compile/mod.rs b/rust/cubesql/cubesql/src/compile/mod.rs
index 9da6c6b5facbd..ee2bede1091da 100644
--- a/rust/cubesql/cubesql/src/compile/mod.rs
+++ b/rust/cubesql/cubesql/src/compile/mod.rs
@@ -16970,4 +16970,56 @@ LIMIT {{ limit }}{% endif %}"#.to_string(),
             displayable(physical_plan.as_ref()).indent()
         );
     }
+
+    #[tokio::test]
+    async fn test_bigquery_timestamp_literal_regression() {
+        if !Rewriter::sql_push_down_enabled() {
+            return;
+        }
+        init_testing_logger();
+
+        let bq_templates = vec![
+            ("expressions/timestamp_literal".to_string(), "TIMESTAMP('{{ value }}')".to_string()),
+        ];
+        
+        let query_plan = convert_select_to_query_plan_customized(
+            r#"
+            SELECT COUNT(*) AS count_orders, LOWER(customer_gender) AS gender
+            FROM KibanaSampleDataEcommerce
+            WHERE order_date >= TIMESTAMP '2025-06-03 00:00:00'
+              AND order_date <= TIMESTAMP '2025-06-10 23:59:59'
+              AND LOWER(customer_gender) = 'test'
+            GROUP BY LOWER(customer_gender)
+            ORDER BY 1 DESC
+            "#
+            .to_string(),
+            DatabaseProtocol::PostgreSQL,
+            bq_templates,
+        )
+        .await;
+
+        let logical_plan = query_plan.as_logical_plan();
+        let sql = logical_plan.find_cube_scan_wrapped_sql().wrapped_sql.sql;
+        
+        println!("Generated BigQuery SQL: {}", sql);
+        
+        // Should contain TIMESTAMP() but NOT DATETIME(TIMESTAMP())
+        assert!(sql.contains("TIMESTAMP("));
+        assert!(!sql.contains("DATETIME(TIMESTAMP("));
+        
+        // Should contain correct BigQuery timestamp literal syntax
+        assert!(sql.contains("TIMESTAMP('2025-06-03T00:00:00.000Z')"));
+        assert!(sql.contains("TIMESTAMP('2025-06-10T23:59:59.000Z')"));
+        
+        // The key test: ensure we don't have the double-wrapping issue
+        // In the broken version, BigQuery would generate DATETIME(TIMESTAMP()) instead of just TIMESTAMP()
+        // Our fix ensures timestamp literals are not double-wrapped
+        assert!(!sql.contains("DATETIME(TIMESTAMP("));
+
+        let physical_plan = query_plan.as_physical_plan().await.unwrap();
+        println!(
+            "Physical plan: {}",
+            displayable(physical_plan.as_ref()).indent()
+        );
+    }
 }