I am a results-driven Data Engineer with 2 years of experience building and optimizing batch and streaming data pipelines using Python, Shell Scripting, SQL, and Apache Airflow. Improved pipeline reliability, reduced processing costs, optimized query functions, and supported analytics and machine learning use cases across cross-functional teams. Experienced in handling high-volume data environments (processing 1M+ rows daily), ensuring near real-time data availability for critical business decision-making. Skilled in bridging the gap between raw data and application layers by transforming complex business requirements (YoY, MoM, WoW, MTD) into optimized, high-performance database structures. A self-starter proficient in schema design, PostgreSQL, performance tuning, and integrating diverse data sources (API, SFTP, DB) to deliver reliable data solutions.