Begin by logging into your Mailjet account. Navigate to the section where your emails are stored, such as the email statistics or contact lists. Utilize Mailjet's export feature to download the data you need. Typically, this is available in CSV format, which is compatible with most database systems. Choose the relevant data and initiate the export, saving the file to your local system.

2. Verify and Clean Exported Data

Open the exported CSV file using a spreadsheet application like Microsoft Excel or Google Sheets. Review the data to ensure it has been correctly exported and is complete. Remove any unnecessary columns or rows that are not needed for your analysis. Ensure that the data types (e.g., dates, numbers) are consistent and correct across your dataset.

3. Prepare Firebolt Environment

Log into your Firebolt account and access the database where you intend to store the Mailjet data. If you don’t have a table created already, use SQL commands to create a new table that matches the structure of your cleaned CSV file. Define the appropriate data types for each column, ensuring they align with the data you will be importing.

4. Convert CSV to SQL Insert Statements

Use a script or a tool to convert the CSV file into SQL INSERT statements. This can be done using a scripting language like Python. Open your terminal or command prompt and write a script that reads the CSV file and generates SQL INSERT statements. Each row in the CSV should correspond to a separate INSERT statement into your Firebolt table.

5. Execute SQL Statements in Firebolt

Access your Firebolt SQL editor. Copy and paste the SQL INSERT statements generated from the previous step. Execute these statements to insert your data into the Firebolt database table. Ensure that all data points are inserted correctly without errors. If errors occur, review the SQL syntax and data types for consistency.

6. Validate Data in Firebolt

Once the data is inserted, run SQL queries to validate that the data has been accurately imported into Firebolt. Check for potential discrepancies or missing data by comparing a few sample records from your original CSV file with the records now stored in the Firebolt database. This ensures data integrity and completeness.

7. Automate the Process for Future Transfers

To streamline future data transfers from Mailjet to Firebolt, consider writing a script that automates the steps above. You can use a combination of cron jobs (for Unix-based systems) or Task Scheduler (for Windows) to schedule regular exports, conversions, and imports. This script should handle exporting data, converting it to SQL, and executing it in Firebolt, reducing manual efforts and ensuring consistency.