refactoring to fomrat

Author: vishwa-uber

docs/03-concepts/11-data-converter.md

@@ -1,12 +1,27 @@
+---
+layout: default
+title: Data Converter
+permalink: /docs/concepts/data-converter
+---
+
 # Data Converter
 
-## Introduction
-A Data Converter in Cadence is responsible for serializing and deserializing data exchanged between workflows, activities, and the Cadence service. It ensures that data is correctly encoded and decoded during communication.
+Data Converters in Cadence handle serialization and deserialization of data exchanged between workflows, activities, and the Cadence service. They ensure data is correctly encoded and decoded during communication.
+
+---
+
+## Key Features
+
+### Custom Serialization
+Implement custom serialization logic for complex data types.
+
+### Data Compression
+Reduce payload size for efficient data transfer.
 
-## Use Cases
-- **Custom Serialization**: Implement custom serialization logic for complex data types.
-- **Data Compression**: Reduce payload size for efficient data transfer.
-- **Encryption**: Secure sensitive data during transmission.
+### Encryption
+Secure sensitive data during transmission.
+
+---
 
 ## Examples
 
@@ -36,9 +51,15 @@ class CustomDataConverter implements DataConverter {
 }
 ```
 
-### References
+---
+
+## References
+
 For more examples and detailed implementations, refer to the Cadence samples repository:
 - [Data Converter Recipe](https://github.com/cadence-workflow/cadence-samples/tree/master/cmd/samples/recipes/dataconverter)
 
+---
+
 ## Conclusion
+
 Data Converters are a powerful feature in Cadence that allow developers to customize how data is handled during workflow execution. By leveraging custom converters, you can optimize performance and ensure data security.