diff --git a/crates/core/src/operations/merge/mod.rs b/crates/core/src/operations/merge/mod.rs
index 8a4640b9a3..712e961e96 100644
--- a/crates/core/src/operations/merge/mod.rs
+++ b/crates/core/src/operations/merge/mod.rs
@@ -74,7 +74,7 @@ use crate::delta_datafusion::{
     register_store, DataFusionMixins, DeltaColumn, DeltaScan, DeltaScanConfigBuilder,
     DeltaSessionConfig, DeltaTableProvider,
 };
-use crate::kernel::Action;
+use crate::kernel::{Action, DataCheck, StructTypeExt};
 use crate::logstore::LogStoreRef;
 use crate::operations::cdc::*;
 use crate::operations::merge::barrier::find_node;
@@ -82,6 +82,7 @@ use crate::operations::transaction::CommitBuilder;
 use crate::operations::write::{write_execution_plan, write_execution_plan_cdc, WriterStatsConfig};
 use crate::protocol::{DeltaOperation, MergePredicate};
 use crate::table::state::DeltaTableState;
+use crate::table::GeneratedColumn;
 use crate::{DeltaResult, DeltaTable, DeltaTableError};
 
 mod barrier;
@@ -750,10 +751,73 @@ async fn execute(
         None => TableReference::bare(UNNAMED_TABLE),
     };
 
+    /// Add generated column expressions to a dataframe
+    fn add_missing_generated_columns(
+        mut df: DataFrame,
+        generated_cols: &Vec<GeneratedColumn>,
+    ) -> DeltaResult<(DataFrame, Vec<String>)> {
+        let mut missing_cols = vec![];
+        for generated_col in generated_cols {
+            let col_name = generated_col.get_name();
+
+            if !df
+                .clone()
+                .schema()
+                .field_names()
+                .contains(&col_name.to_string())
+            {
+                debug!("Adding missing generated column {} in source as placeholder", col_name);
+                // If column doesn't exist, we add a null column, later we will generate the values after
+                // all the merge is projected.
+                // Other generated columns that were provided upon the start we only validate during write
+                missing_cols.push(col_name.to_string());
+                df = df.clone().with_column(col_name, Expr::Literal(ScalarValue::Null))?;
+            }
+        }
+        Ok((df, missing_cols))
+    }
+
+    /// Add generated column expressions to a dataframe
+    fn add_generated_columns(
+        mut df: DataFrame,
+        generated_cols: &Vec<GeneratedColumn>,
+        generated_cols_missing_in_source: &Vec<String>,
+        state: &SessionState,
+    ) -> DeltaResult<DataFrame> {
+        debug!("Generating columns in dataframe");
+        for generated_col in generated_cols {
+            // We only validate columns that were missing from the start. We don't update
+            // update generated columns that were provided during runtime
+            if !generated_cols_missing_in_source.contains(&generated_col.name) {
+                continue;
+            }
+
+            let generation_expr = state.create_logical_expr(
+                generated_col.get_generation_expression(),
+                df.clone().schema(),
+            )?;
+            let col_name = generated_col.get_name();
+
+            df = df.clone().with_column(
+                generated_col.get_name(),
+                when(col(col_name).is_null(), generation_expr).otherwise(col(col_name))?,
+            )?
+        }
+        Ok(df)
+    }
+
+    let generated_col_expressions = snapshot
+        .schema()
+        .get_generated_columns()
+        .unwrap_or_default();
+
+    let (source, missing_generated_columns) = add_missing_generated_columns(source, &generated_col_expressions)?;
     // This is only done to provide the source columns with a correct table reference. Just renaming the columns does not work
     let source = LogicalPlanBuilder::scan(
         source_name.clone(),
-        provider_as_source(source.into_view()),
+        provider_as_source(
+            source.into_view(),
+        ),
         None,
     )?
     .build()?;
@@ -1160,26 +1224,38 @@ async fn execute(
             lit(5),
         ))?;
 
-        change_data.push(
-            cdc_projection
-                .clone()
-                .filter(
-                    col(SOURCE_COLUMN)
-                        .is_true()
-                        .and(col(TARGET_COLUMN).is_null()),
-                )?
-                .select(write_projection.clone())?
-                .with_column(CDC_COLUMN_NAME, lit("insert"))?,
-        );
+        let mut cdc_insert_df = cdc_projection
+            .clone()
+            .filter(
+                col(SOURCE_COLUMN)
+                    .is_true()
+                    .and(col(TARGET_COLUMN).is_null()),
+            )?
+            .select(write_projection.clone())?
+            .with_column(CDC_COLUMN_NAME, lit("insert"))?;
+
+        cdc_insert_df = add_generated_columns(
+            cdc_insert_df, 
+            &generated_col_expressions, 
+            &missing_generated_columns,
+            &state)?;
 
-        let after = cdc_projection
+        change_data.push(cdc_insert_df);
+
+        let mut after = cdc_projection
             .clone()
             .filter(col(TARGET_COLUMN).is_true())?
             .select(write_projection.clone())?;
 
+        after = add_generated_columns(
+            after, 
+            &generated_col_expressions, 
+            &missing_generated_columns,
+            &state)?;
+
         // Extra select_columns is required so that before and after have same schema order
         // DataFusion doesn't have UnionByName yet, see https://github.com/apache/datafusion/issues/12650
-        let before = cdc_projection
+        let mut before = cdc_projection
             .clone()
             .filter(col(crate::delta_datafusion::PATH_COLUMN).is_not_null())?
             .select(
@@ -1199,11 +1275,22 @@ async fn execute(
                     .collect::<Vec<_>>(),
             )?;
 
+        before = add_generated_columns(
+            before, 
+            &generated_col_expressions, 
+            &missing_generated_columns,
+            &state)?;
+
         let tracker = CDCTracker::new(before, after);
         change_data.push(tracker.collect()?);
     }
 
-    let project = filtered.clone().select(write_projection)?;
+    let mut project = filtered.clone().select(write_projection)?;
+    project = add_generated_columns(
+        project, 
+        &generated_col_expressions, 
+        &missing_generated_columns,
+        &state)?;
 
     let merge_final = &project.into_unoptimized_plan();
     let write = state.create_physical_plan(merge_final).await?;