I provide end-to-end Data Engineering solutions, specializing in building robust ETL pipelines, data processing, and seamless database integration. I leverage Python, Node.js, Django, and JavaScript to design scalable backend systems that handle large datasets efficiently. My services include extracting, transforming, and loading data into PostgreSQL, MongoDB, or other databases, ensuring data is clean, consistent, and ready for analytics or business intelligence. I also offer backend development to support data-driven applications, integrating APIs and real-time processing where required. With a strong background in web development and React, I can also bridge the gap between data pipelines and frontend interfaces. My approach emphasizes reliability, performance, and maintainable code, making complex data workflows simple and effective.