Begin by accessing the TVmaze API. Use the endpoint `https://api.tvmaze.com/schedule` to fetch the schedule data. You can use tools like `curl` or a simple script in Python using `requests` to make an HTTP GET request to this endpoint and retrieve the data in JSON format.

Once you have the JSON data, parse it to extract relevant fields such as show name, airdate, airtime, and network. Use a script (Python's `pandas` library is excellent for this) to convert the JSON data into a structured format like CSV or TSV, which is easy to work with.

Ensure you have a Firebolt account set up and a database ready to receive the data. If not already done, create a database and a table with appropriate schema to match the structure of the data you will be importing (e.g., columns for show name, airdate, airtime, network).

Save the transformed tabular data to a file on your local machine. This could be a CSV file, which Firebolt can easily import. Make sure to check the data types and ensure they match the schema of your Firebolt table.

Use Firebolt's web console or command-line tools to upload your CSV file to an accessible location. Firebolt uses Amazon S3 to store data, so you'll need to upload the file to an S3 bucket that your Firebolt instance can access. Ensure you have the necessary AWS credentials and permissions to perform this operation.

Execute a SQL `COPY INTO` command in Firebolt to load the data from your S3 bucket into your database table. The command should specify the file location in S3, the target table, and any necessary formatting options (e.g., CSV, delimiter characters).

After loading the data, run SQL queries in Firebolt to verify that the data has been imported correctly. Check for data integrity by comparing a few records from the original source with those in the database, ensuring there are no discrepancies or missing data. Adjust the process as needed to handle any issues that arise.