Anuraag Gujje

WORK HISTORY

EDUCATION

ABOUT ANURAAG GUJJE

Hi, I’m Anuraag, a Data Analytics Engineer with 2+ years of experience designing and building scalable data architectures that transform raw information into high-value insights. With a deep passion for Data and Business Intelligence, I specialize in designing and optimizing scalable ETL pipelines, ensuring efficient data modeling and warehouse solutions, and implementing cloud-based solutions that drive business intelligence. My first real dive into the world of data happened at o9 Solutions, where I spent over two years navigating the landscape of supply chain analytics and business intelligence. From architecting data warehouse to streamlining process workflows and developing dynamic interactive dashboards, I transformed raw data into actionable insights. But beyond the technical deep dives, this experience sharpened my ability to engage with stakeholders, align solutions with business objectives, and drive seamless implementations. Two years in, I realized I wanted to elevate my technical expertise, and dive deeper into the worlds of machine learning, big data, and advanced analytics. That drive led me to the University of South Florida, where I’m currently pursuing my Master’s in Business Analytics and Information Systems. Here, I’ve expanded my expertise through courses like Big Data for Business, Data Science Programming, and Cloud Architechture. Alongside academics, my internship with USF’s IT team gave me something just as valuable, an understanding of the U.S. work culture. I have also completed multiple certifications in Spark, Databricks and Azure, and earned HackerRank certificates in SQL, Python, and Problem Solving. I am a quick learner, a creative thinker, and a team player. I thrive at the intersection of data engineering, analytics, and cloud based solutions, where problem solving and creative thinking come together to tackle real-world challenges. Competencies: Data Engineering, Data Analysis, ETL Pipelines, Data Warehousing, Cloud (Azure, AWS), Big Data Technologies (Spark, Hadoop), Python/SQL/R, Data Visualization (Tableau, Power BI, Looker), Machine Learning, Agile Methodology