Before proceeding, it's important to understand the structure of the data in both Jira and Redis. Jira typically stores data in a structured format like JSON, while Redis is a key-value store. Identify what data you need to transfer and how it will be represented in Redis.

Jira provides a REST API that allows you to access its data programmatically. Set up API access by creating an API token from your Jira account. Use this token to authenticate your requests. Ensure your user permissions in Jira allow access to the data you intend to move.

Write a script in a programming language of your choice (such as Python) to extract data from Jira. Use the Jira REST API to fetch the data. For example, you can use Python's `requests` library to send HTTP requests to Jira's API endpoints. Extract the necessary information and parse it into a suitable structure.

Since Redis is a key-value store, you need to transform the extracted data into a format suitable for Redis. Decide on the key schema and how the values will be stored. For example, you might use a combination of project IDs and issue IDs as keys, with the issue details as values.

Use a library compatible with your chosen programming language to connect to your Redis instance. In Python, you can use the `redis-py` library to establish a connection. Ensure you have the correct credentials and network access to connect to your Redis server.

With the connection established, write the transformed data into Redis. Use the appropriate Redis commands to store data according to your schema. For instance, you might use the `SET` command to store simple key-value pairs or `HMSET` for more complex structures like hashes if storing multiple fields per key.

After loading the data, perform checks to ensure data integrity and completeness. Query Redis to verify that all expected keys and values are present and correct. Consider writing automated tests that compare the data in Redis with the original data in Jira to ensure accuracy.

This guide assumes a basic familiarity with programming, HTTP requests, and working with both Jira and Redis. Adjust the steps as necessary to fit the specific requirements and constraints of your environment.