As a dynamic and results-oriented Data Engineer with a strong foundation in cloud infrastructure, data management, and machine learning, I have honed my expertise in automating large-scale data processes using AWS-based ETL pipelines. My technical proficiency spans Python, Oracle SQL, and cloud technologies, enabling me to optimize workflows and deliver data-driven solutions for business efficiency.At Epsilon, I played a key role in migrating legacy systems to AWS Cloud, engineered robust automated ETL pipelines, and developed dashboards that empowered senior management with actionable insights. My prior experience at Rieuqation LLP equipped me with advanced knowledge in unsupervised learning and image processing, where I applied machine learning models to real-world datasets to streamline workflows.Currently pursuing an MS in Information Management at the University of Washington, Seattle, I am eager to explore opportunities where I can learn and contribute to the data and product management domain. I am passionate about solving complex data challenges, enhancing system efficiencies, and leveraging data for better decision-making while continuing my academic journey.Outside of work, I have demonstrated leadership, including founding the first Women’s Handball Team at NIT Trichy and chairing symposiums that bridge academia and industry.