Update README.md

README.md

@@ -35,8 +35,8 @@ This ETL (Extract, Transform, Load) project employs several Python libraries, in
   * [Part 2](#part-2)
   * [Part 3](TODO)
 * [Project structure](#project-structure)
-* [Prerequites](#prerequisites)
 * [Running this project](#running-this-project)
+   *  [Prerequites](#prerequisites)
 * [Creating a new connection to DuckDB](#creating-a-new-connection-to-duckdb)
 * [Creating a new connection to Google Cloud](#creating-a-new-connection-to-google-cloud)
 
@@ -203,7 +203,11 @@ As mentioned earlier, Soda can play a pivotal role in ensuring that our data mee
 
 --------
 
-## Prerequisites
+
+
+## Running this project
+
+### Prerequisites
 
 * The Astro CLI installed. You can find installation instructions in this link [Astro CLI](https://docs.astronomer.io/astro/cli/install-cli?tab=linux#install-the-astro-cli)
 * [Docker Desktop](https://www.docker.com/products/docker-desktop/) 
@@ -214,8 +218,6 @@ As mentioned earlier, Soda can play a pivotal role in ensuring that our data mee
 
 *Optional
 
-## Running this project
-
 First things first, we need to create a Google Cloud Account with a BigQuery Admin Role:
 
 You can find a tutorial at directory docs/google_cloud.md or [click here](https://github.com/mathewsrc/Streamlined-ETL-Process-Unleashing-Airflow-Soda-Polars-and-YData-Profiling/blob/master/docs/google_cloud.md)