I have three years of expertise as a data engineer, turning unstructured data into insightful knowledge through the creation and optimization of scalable data solutions. My adventure started in India, where I built and maintained data pipelines to ensure high data integrity and performance using big data tools like Hadoop, Spark, Hive, and Kafka. I pursued a Master’s degree in Business Analytics in the U.S. to deepen my understanding of the intersection between data engineering and business strategy. This combination of hands-on technical experience and academic training has equipped me with a unique ability to bridge the gap between complex data systems and actionable business insights.At VinSoft Technologies in Hyderabad, I played a key role as a Data Engineer, specializing in building and enhancing scalable data pipelines. I utilized automation to streamline ETL processes, ensuring efficient data extraction, transformation, and loading from multiple sources into target systems. I was responsible for creating and maintaining data lakes and warehouses, enabling optimized data storage and retrieval. My work involved analyzing large, unstructured datasets to identify valuable insights and support data-driven decision-making. I also developed robust frameworks to support data transformation, metadata governance, and workload coordination, effectively managing fragmented datasets to extract patterns and drive impactful business results.