Tell about a complex technical project you participated in and describe the main challenges you faced.

In one of my Python projects, I participated in developing an automated system for processing large volumes of data for a financial company. The main challenge was to ensure high performance during parallel processing while maintaining data accuracy and reliability.

Problems I faced:

• Optimizing memory usage when loading and processing large CSV files.
• Implementing efficient multithreaded or asynchronous code to speed up processing.
• Ensuring fault tolerance and proper exception handling.

To solve these tasks, I used pandas with chunking for incremental data loading, multiprocessing for parallel processing, and logging for error tracking. This approach allowed achieving a balance between speed and system stability.