Begin by exporting the data you need from Freshdesk. Freshdesk provides a built-in option to export data such as tickets, contacts, and companies into CSV format. Navigate to the relevant section in the Freshdesk dashboard, select the data you wish to export, and use the export function to download the data in CSV format.

Once you have the exported data, review the CSV files to ensure they are correctly formatted. Check for any inconsistencies or errors in the data that might affect the loading process into Snowflake. Make sure the column headers are well-defined and consistent with the data they represent.

Log in to your Snowflake account. If you haven't set up a Snowflake account yet, you'll need to create one and configure your environment. Ensure you have the necessary permissions to load data into your desired database and schema.

Using the Snowflake web interface or a SQL client, create a table in your Snowflake database that matches the structure of your CSV data. Define the appropriate data types for each column to ensure consistency and integrity when loading the data.

```sql
CREATE OR REPLACE TABLE freshdesk_data (
column1 STRING,
column2 STRING,
...
);
```

Before loading data into Snowflake, you need to stage your CSV files. Use Snowflake's internal staging area by uploading the CSV files to a Snowflake stage. This can be done using the Snowflake web interface or a command-line tool like SnowSQL.

```shell
PUT file:///path/to/your/exported_data.csv @%freshdesk_data;
```

With your files staged, execute the `COPY INTO` command to load the data from the staged CSV files into the Snowflake table you created. Specify any necessary file format options, such as field delimiter and header row presence.

```sql
COPY INTO freshdesk_data
FROM @%freshdesk_data
FILE_FORMAT = (TYPE = 'CSV' FIELD_DELIMITER = ',' SKIP_HEADER = 1);
```

Once the data load is complete, verify that your data has been correctly imported into Snowflake. Run a few queries to check data integrity and ensure all records are present. This is also a good time to apply any necessary transformations or indexing for optimized querying.

```sql
SELECT * FROM freshdesk_data LIMIT 10;
```

By following these steps, you can successfully move data from Freshdesk to the Snowflake Data Cloud without relying on third-party connectors or integrations.