diff --git a/docs/api/tutorials/lineage.md b/docs/api/tutorials/lineage.md
index db23de4f05..e3a4e65ca5 100644
--- a/docs/api/tutorials/lineage.md
+++ b/docs/api/tutorials/lineage.md
@@ -12,7 +12,8 @@ For more information about lineage, refer to [About DataHub Lineage](/docs/linea
 
 This guide will show you how to
 
-- Add lineage between two hive datasets.
+- Add lineage between datasets.
+- Add column-level lineage between datasets.
 
 ## Prerequisites
 
@@ -112,3 +113,21 @@ Expected Response:
 You can now see the lineage between `fct_users_deleted` and `logging_events`.
 
 ![lineage-added](../../imgs/apis/tutorials/lineage-added.png)
+
+## Add Column-level Lineage
+
+<Tabs>
+<TabItem value="python" label="Python">
+
+```python
+{{ inline /metadata-ingestion/examples/library/lineage_emitter_dataset_finegrained_sample.py show_path_as_comment }}
+```
+
+</TabItem>
+</Tabs>
+
+### Expected Outcome of Adding Column Level Lineage
+
+You can now see the column-level lineage between datasets. Note that you have to enable `Show Columns` to be able to see the column-level lineage.
+
+![column-level-lineage-added](../../imgs/apis/tutorials/column-level-lineage-added.png)
diff --git a/docs/imgs/apis/tutorials/column-level-lineage-added.png b/docs/imgs/apis/tutorials/column-level-lineage-added.png
new file mode 100644
index 0000000000..6092436e0a
Binary files /dev/null and b/docs/imgs/apis/tutorials/column-level-lineage-added.png differ
diff --git a/metadata-ingestion/examples/library/lineage_emitter_dataset_finegrained_sample.py b/metadata-ingestion/examples/library/lineage_emitter_dataset_finegrained_sample.py
new file mode 100644
index 0000000000..637b24887f
--- /dev/null
+++ b/metadata-ingestion/examples/library/lineage_emitter_dataset_finegrained_sample.py
@@ -0,0 +1,53 @@
+import datahub.emitter.mce_builder as builder
+from datahub.emitter.mcp import MetadataChangeProposalWrapper
+from datahub.emitter.rest_emitter import DatahubRestEmitter
+from datahub.metadata.com.linkedin.pegasus2avro.dataset import (
+    DatasetLineageType,
+    FineGrainedLineage,
+    FineGrainedLineageDownstreamType,
+    FineGrainedLineageUpstreamType,
+    Upstream,
+    UpstreamLineage,
+)
+
+
+def datasetUrn(tbl):
+    return builder.make_dataset_urn("hive", tbl)
+
+
+def fldUrn(tbl, fld):
+    return builder.make_schema_field_urn(datasetUrn(tbl), fld)
+
+
+fineGrainedLineages = [
+    FineGrainedLineage(
+        upstreamType=FineGrainedLineageUpstreamType.FIELD_SET,
+        upstreams=[
+            fldUrn("fct_users_deleted", "browser_id"),
+            fldUrn("fct_users_created", "user_id"),
+        ],
+        downstreamType=FineGrainedLineageDownstreamType.FIELD,
+        downstreams=[fldUrn("logging_events", "browser")],
+    ),
+]
+
+
+# this is just to check if any conflicts with existing Upstream, particularly the DownstreamOf relationship
+upstream = Upstream(
+    dataset=datasetUrn("fct_users_deleted"), type=DatasetLineageType.TRANSFORMED
+)
+
+fieldLineages = UpstreamLineage(
+    upstreams=[upstream], fineGrainedLineages=fineGrainedLineages
+)
+
+lineageMcp = MetadataChangeProposalWrapper(
+    entityUrn=datasetUrn("logging_events"),
+    aspect=fieldLineages,
+)
+
+# Create an emitter to the GMS REST API.
+emitter = DatahubRestEmitter("http://localhost:8080")
+
+# Emit metadata!
+emitter.emit_mcp(lineageMcp)