Update README.md

Author: Shanabunga

README.md

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-## Data Engineering Project, aka Simple Stack
+# ⚙️ Simplet Stack Data Engineering Project ⚙️
 This repository consists of a [dbt](https://www.getdbt.com/) project designed to transform raw data into structured, analytics-ready models. The project follows modern data engineering best practices, ensuring efficient, scalable, and maintainable data workflows.
 
 The goal of this project is to implement a simple and effective data architecture that can support analytics and reporting needs. It integrates data ingestion, transformation, testing, and deployment into a streamlined process, ensuring high-quality data pipelines.
@@ -10,7 +10,7 @@ The project emphasizes minimal tooling, clear structure, and automation to build
 To learn more about the overall architecture design & strategy can be found in our centralized handbook:
 - [Data Architecture Handbook](https://docs.google.com/document/d/1WmOnx_5QaGmo-kNWitd9jSEwvEnwqxiS0ZA1jmMV-v0/edit?usp=sharing)
 
-## Sources: 
+## ** Sources: ** 
 Raw, unformatted data loaded directly from source systems using various data tools.
 - `nba_data` - The primary source of NBA statistics data captured from an API & loaded via Sling/Airbyte.
     - Schema: `analytics.raw_nba_data`