Dynamic and skilled Data Engineer with a solid background in various programming languages including C++, Java, and Python, and proficient in SQL, Microsoft Office, Power BI, and Tableau. Graduated from the University of Michigan-Dearborn with a Master’s in Data Science, boasting a strong academic record (GPA: 3.4). My tenure at Kelly Services in Michigan (May 2023 - December 2023) honed my abilities in leveraging DataBricks for efficient data processing and transformation, and in developing PySpark scripts to solve complex engineering problems. Experienced in collaborating within teams to design and optimize data pipelines, I excel in using Python and SQL for data manipulation and analysis, contributing significantly to data-driven decision-making processes. My career is further complemented by industry certifications in Microsoft Azure Fundamentals and as a Data Bricks Certified Data Engineer Associate, underlining my commitment to staying at the forefront of data engineering innovation.