Before starting the data transfer process, ensure that you have the necessary access rights to both Teradata and Redshift. Install the required command-line tools and libraries, such as Teradata utilities (e.g., BTEQ or TPT) and AWS CLI, on your local machine or server where you plan to perform the operations.

Use Teradata’s BTEQ or TPT utility to extract the data. You can write a SQL query to select the data you need and export it to a flat file format such as CSV. Ensure that the data is exported in a format that is compatible with Redshift, such as correct delimiters and text qualifiers.

Example BTEQ command:
```bash
.logon /,;
.export file=;
SELECT FROM ;
.export reset;
.logoff;
.quit;
```

Once you have the data in a flat file, use the AWS CLI to transfer the file to an Amazon S3 bucket. Ensure that you have configured your AWS credentials and have the necessary permissions to upload files to the S3 bucket.

Example AWS CLI command:
```bash
aws s3 cp s3:////
```

Before loading data into Redshift, create a table that matches the schema of your data. This includes defining data types and column names. Use the Redshift console or SQL Workbench/J to execute the SQL commands to create the table.

Example SQL command:
```sql
CREATE TABLE your_table_name (
column1_name column1_type,
column2_name column2_type,
...
);
```

Use the `COPY` command in Redshift to load data from the S3 bucket into the Redshift table. The COPY command is efficient for loading large datasets and supports various data formats and options.

Example COPY command:
```sql
COPY your_table_name
FROM 's3:////'
IAM_ROLE ''
FORMAT AS CSV
DELIMITER ','
IGNOREHEADER 1;
```

After loading the data into Redshift, perform checks to ensure data integrity. Compare row counts and sample data between Teradata and Redshift to ensure that the data has been transferred accurately. Use SQL queries to perform these verifications.

Example verification query:
```sql
SELECT COUNT() FROM your_table_name;
```

Once the data is loaded and verified, optimize the Redshift table for performance. This may involve analyzing the table to update statistics, applying compression encodings, and setting distribution and sort keys based on query patterns.

Example optimization commands:
```sql
ANALYZE your_table_name;
VACUUM your_table_name;
```

By following these steps, you can effectively move data from Teradata to Redshift without relying on third-party connectors or integrations. Adjust the commands and configurations as necessary to fit your specific requirements and environment.