As a Big Data Engineer, I am responsible for designing and building data pipelines that process vast amounts of structured and unstructured data, transforming raw data into valuable insights. Designing and optimizing data models, ETL workflows, and data ingestion processes, ensuring data quality, consistency, and integrity at every stage of the data lifecycle. I have hands-on experience with various big data technologies, such as Hadoop, Spark, Hive, and Kafka, and programming languages such as Python and SQL. In addition, I am well-versed in cloud computing platforms, such as AWS and Azure, and have a deep understanding of their services and offerings. I have also worked with Power BI data visualization tools to create insightful and interactive dashboards and reports. My passion for Big Data extends beyond my work, and As a detail-oriented and analytical problem solver, I thrive in collaborative environments and enjoy working closely with cross-functional teams to deliver high-quality, data-driven solutions. I am also committed to staying up-to-date with the latest advancements in big data and continuously expanding my skill set.