Ensure your CSV file is formatted correctly. It should have a header row with column names and consistent data types in each column. Remove any unnecessary spaces or special characters that could interfere with data processing.

Log in to your Starburst Galaxy account and set up your environment. This involves creating a new catalog and schema where your CSV data will be stored. Ensure you have the necessary permissions to create tables and load data into your environment.

Move your CSV file to a storage location accessible by Starburst Galaxy. This could be an AWS S3 bucket, Google Cloud Storage, or Azure Blob Storage, depending on the cloud provider you are using with Starburst Galaxy. Ensure the storage location is correctly configured with access permissions for Starburst Galaxy.

Use the SQL interface in Starburst Galaxy to create a table schema that matches the structure of your CSV file. Define the table with appropriate data types for each column. Here’s an example SQL command:
```sql
CREATE TABLE my_schema.my_table (
column1 VARCHAR,
column2 INT,
column3 DATE
);
```
Adjust the column names and data types as necessary to match your CSV file.

Use a SQL command in Starburst Galaxy to load data from your CSV file into the created table. This is typically done using a `COPY` or `INSERT INTO` statement with an external table reference. Here’s a simplified example using a `COPY` command:
```sql
COPY my_schema.my_table FROM 's3://my-bucket/my-file.csv'
WITH (FORMAT CSV, HEADER);
```
Modify the syntax according to your storage service and ensure the path to the CSV is correct.

After loading the data, validate the transfer by running queries to check if the data in Starburst Galaxy matches the original CSV file. Perform checks such as row count comparisons and spot checks of data in key columns to ensure accuracy.

To enhance query performance, create indexes on columns frequently used in query filters or joins. Use Starburst Galaxy's optimization features such as partitioning and clustering if applicable. This step ensures the data is efficiently organized for future analyses.

By following these steps, you can effectively transfer data from a CSV file to Starburst Galaxy without the need for third-party connectors or integrations, ensuring a seamless and controlled data migration process.