I am a Software Engineer/Data Engineer with 4 years of professional experience specializing in building distributed systems and end-to-end data-pipelines. I have extensive experience in working on Python, Java, SQL, Spark, and AWS cloud infrastructure. Throughout my career, I have collaborated with cross-functional teams to deliver robust, scalable, and highly available distributed infrastructure solutions for stakeholders. Holding professional certifications as an AWS Solutions Architect and Microsoft Azure Fundamentals, I possess extensive knowledge in managing cloud infrastructure, handling large-scale data storage, and utilizing cloud-based data lakes. I specialize in backend engineering and excel in constructing scalable, reliable ETL data pipelines using various Big Data technologies.

I hold a Master's degree in Computer Science with a focus on Big Data and Machine Learning from the University of Texas, Arlington. During my Master's program, I successfully completed multiple projects that involved building scalable data pipelines and performing data transformation using Apache Spark, Kafka, ETL processes, and various other big data technologies. My proficiency extends to both relational and NoSQL databases, providing a solid foundation in data management and storage.I am proificent in building dashboards using Tableau, Looker and PowerBI for key-metrics of data that help in informed decision making.

I am a highly motivated and passionate engineer known for going above and beyond for my previous employer. I excel in executing tasks in a timely manner and have showcased my leadership skills through successful organization and management of university events during my tenure as a Cultural Secretary. I thrive on challenges and am actively seeking new opportunities in the field of Computer Science.