I am a hands-on Data Engineer and AI Engineer with strong experience building, maintaining, and extending Python-based ETL pipelines, working with PostgreSQL databases, and integrating third-party APIs on AWS. I have production experience debugging failed jobs, handling API pagination and retries, managing schema -----------ges, and writing optimized SQL queries for validation and reporting. In parallel, I build AI-driven systems such as LLM-powered chatbots, document automation tools, and data pipelines using Python, Docker, and cloud infrastructure. I follow GitHub-based workflows, write clear documentation, and work carefully with production data, focusing on reliability, accuracy, and execution rather than experimentation.