The Pipeline design pattern, also known as the Chain of Command pattern, is a method for processing a sequence of actions where each handler in the chain processes input data and passes it to the next handler. This pattern is effectively used in data processing tasks such as web scraping and middleware systems. A specific implementation in Python employs functools.reduce and partial functions, alongside the BeautifulSoup library, to parse and process HTML content, specifically for extracting and cleaning tables into a structured pandas DataFrame. The code leverages functional programming principles to create a data parsing pipeline that reads HTML content, extracts table data, applies filtering logic, separates columns, and converts the data into a DataFrame with the correct data types. Each step of the process is modular and composed using a functional approach, allowing for a clean and maintainable solution to processing dynamic data from HTML sources. The implementation is showcased in a GitHub repository and further explained in a code clinic available through a specific online community.