10+ years of professional experience in data engineering or applied data science Expert-level proficiency in Python (data wrangling, visualization, statistical testing) Deep understanding of data modeling, prompt crafting, and reproducible workflows Exceptional attention to detail and quality control Proven success in high-impact technical environments