Before starting the data transfer, clearly define the structure and format of your RSS feed data. RSS feeds are typically XML files, so you'll need to understand how to parse XML. Additionally, understand how Starburst Galaxy, a data query engine, organizes and stores data.

Prepare a local environment where you can write and test scripts. Install necessary tools such as Python or any other programming language that supports XML parsing and SQL queries. Ensure that you have the necessary permissions and access to Starburst Galaxy.

Use a script to fetch and parse the RSS feed. In Python, you can use libraries like `requests` to fetch the feed and `xml.etree.ElementTree` for parsing the XML. Extract the necessary data fields that you want to move to Starburst Galaxy.

```python
import requests
import xml.etree.ElementTree as ET

response = requests.get('http://example.com/rss')
root = ET.fromstring(response.content)

for item in root.findall('./channel/item'):
title = item.find('title').text
link = item.find('link').text
# Extract additional fields as needed
```

Transform the extracted data to match the schema and data types used in your Starburst Galaxy environment. This might involve converting date formats, normalizing string cases, or restructuring data to fit relational models.

Convert your transformed data into SQL `INSERT` statements or other relevant SQL commands supported by Starburst Galaxy. Carefully construct these statements to ensure they match the schema of your destination tables.

```sql
INSERT INTO my_table (title, link) VALUES ('Sample Title', 'http://example.com');
```

Use JDBC or any supported direct connection method to connect to your Starburst Galaxy instance from your script. Ensure that you authenticate properly and have the necessary permissions to write data.

```python
from db_connection_module import connect_to_starburst

connection = connect_to_starburst('my_database', 'username', 'password')
cursor = connection.cursor()
```

Execute the prepared SQL statements using your established connection. After execution, verify that the data has been accurately inserted into the Starburst Galaxy. Perform checks by querying the database to compare the inserted data with the source RSS feed.

```python
cursor.execute("INSERT INTO my_table (title, link) VALUES (%s, %s)", (title, link))
connection.commit()

# Verification
cursor.execute("SELECT * FROM my_table")
for row in cursor.fetchall():
print(row)
```

By following these steps, you can transfer data from an RSS feed to Starburst Galaxy manually without relying on third-party connectors or integrations. Adjust each step to fit your specific environment and requirements.