Motivated Data Engineer with expertise in designing and optimizing ETL processes, data pipelines, and data warehousing solutions. Skilled in Python, SQL, Azure cloud platforms, and tools like SSIS, with a strong ability to manage large datasets and apply best practices in software engineering. Experience in combining data analytics and machine learning to build predictive models and automate processes. Proficient in data visualization tools like Power BI, delivering insights to drive impactful decision-making. Passionate about leveraging data to create innovative, data-driven solutions and eager to explore new technologies in data engineering.Throughout my academic journey, I have completed internships where I had the opportunity to apply my learning to real-world challenges. I contributed to projects that involved extracting insights from data using ML models, working with Big Data technologies such as Hadoop and Spark, and implementing stream processing with Kafka, and utilizing ETL tools like SSIS. These experiences have strengthened my technical skills and enhanced my problem-solving, communication, and teamwork abilities.In the short term, I aim to gain further practical experience through internships and projects, while my long-term goal is to become a Big Data Engineer, driving innovative solutions in the tech or healthcare sectors.