As a Big Data Engineer at Millennium, I develop, optimize, and maintain end-to-end data pipelines using various AWS services and tools. I work with large and complex datasets to enable data-driven decision making and insights for the company.Previously, I was a Big Data Consultant at Amazon Web Services, where I architected and implemented several data lake ingestion pipelines for AWS clients, using AWS Glue, Athena, Kinesis, S3, and more. I also communicated with clients to ensure timely delivery of requirements and high-quality solutions.I have a Master's degree in Computer Science from Montclair State University, where I gained a strong foundation in data structures, algorithms, and programming languages. I also hold multiple AWS certifications, including Data Analytics, Developer, and SysOps Administrator, which demonstrate my proficiency and expertise in AWS technologies and best practices.I am passionate about solving challenging problems with data and leveraging the power of cloud computing and big data technologies. I am always eager to learn new skills and tools, and to collaborate with other data professionals and stakeholders. I strive to deliver efficient, scalable, and reliable data solutions that add value and impact to the business.