Familiarize yourself with Timely’s data export capabilities. Timely allows you to export data in various formats, commonly CSV. Access your Timely account and navigate to the export section to see the available options and formats.

Export the desired data from Timely. Typically, you will choose CSV format due to its compatibility with many systems, including DuckDB. Ensure that you select all relevant data fields and records needed for your analysis or storage in DuckDB.

Install DuckDB on your local machine. You can do this by visiting the DuckDB website, downloading the appropriate version for your operating system, and following the installation instructions. Ensure you have access to a command line or a GUI tool that can interact with DuckDB.

Use DuckDB’s SQL interface to load the CSV file. Start DuckDB and use the following SQL command to load the data:
```sql
CREATE TABLE timely_data AS SELECT * FROM read_csv_auto('path/to/your/exported_file.csv');
```
Replace `'path/to/your/exported_file.csv'` with the actual path to your CSV file. This command reads the CSV file and creates a new table in DuckDB with its data.

After loading the CSV data, verify that the data in DuckDB matches the original data from Timely. You can perform simple SQL queries to count rows, check specific data fields, or compare summaries to ensure accuracy:
```sql
SELECT COUNT(*) FROM timely_data;
```

If your analysis or storage requirements dictate a need for data transformation, use DuckDB’s SQL capabilities to modify your dataset. This could include renaming columns, changing data types, or filtering specific records. For example:
```sql
ALTER TABLE timely_data RENAME COLUMN old_name TO new_name;
```

Once your data is satisfactorily loaded and transformed, create a backup of your DuckDB database. This ensures that you do not lose any data in case of system failure. You can simply copy the DuckDB database file to a secure location:
```shell
cp /path/to/your/database.duckdb /path/to/backup/location/
```

By following these steps, you can effectively move data from Timely to DuckDB without relying on third-party connectors or integrations.