Extensive hands-on experience in Python programming, typically within a 6-10 year range Advanced SQL capabilities, including writing efficient queries and working with high-volume datasets Practical exposure to data handling and analysis using libraries like Pandas and NumPy Proven experience in designing and developing APIs using frameworks such as Flask, FastAPI, or Django Strong grasp of data structures with the ability to optimize code for better performance Experience working in data-intensive environments, focusing on scalability and efficiency improvements Familiarity with Linux/Unix systems, along with basic Scripting for automation tasks