I am a dedicated Data Engineer with 3+ years of experience in ETL development, leveraging Python, PySpark, and AWS to design and implement scalable data pipelines that transform raw data into actionable insights. My expertise lies in optimizing SQL queries and data models to boost performance and streamline complex workflows. By collaborating closely with cross-functional teams and clients, I have successfully delivered data solutions that enhance operational efficiency and enable data-driven decision-making. My focus on innovation, transparency, and quality has consistently driven impactful outcomes. Key Achievements: • Achieved a 20% reduction in data processing time by leading the development of robust ETL processes, integrating diverse sources for seamless analysis at TCS. • Recognized with the TCS Star of the Month Award and On the Spot Award, highlighting outstanding contributions to high-impact projects. • Designed and implemented scalable data pipelines using Spark, significantly enhancing processing efficiency and operational effectiveness. • Experienced in utilizing AWS services (S3, EFS, EC2, Lambda, SQS) and DevOps tools like Jenkins to deliver reliable and efficient solutions. • Proficient in maintaining clear and detailed code and data documentation, fostering team collaboration and ensuring knowledge transfer. I am passionate about solving complex data challenges, optimizing processes, and driving business success through innovative and scalable solutions.