I am a Master’s student in Data Science at the University of Potsdam, combining academic learning with over 3 years of professional experience in Data Engineering. I specialize in transforming raw, complex data into reliable, actionable insights by designing and optimizing end-to-end data pipelines. In my professional journey, I’ve worked extensively with complex SQL queries, ETL pipelines using SSIS, and Python for efficient data processing. I also have hands-on experience with cloud data platforms like Databricks and Snowflake, enabling scalable data engineering solutions and efficient handling of large, complex datasets while ensuring data integrity throughout the lifecycle. Alongside my professional work, I’ve contributed to web-based projects during my academic and early professional experiences, gaining hands-on exposure to HTML/CSS, Flask (Python), Bootstrap, and .NET, which strengthened my understanding of how data integrates into full-scale applications. I am passionate about problem-solving, continuous learning, and diving deep into data. Exploring complex datasets, optimizing workflows, and finding innovative solutions to data challenges motivates me every day.