As a seasoned data professional, I bring over five years of hands-on experience and a robust educational background from the University of Connecticut, where I graduated in May 2024. My expertise spans across data engineering, business analytics, and machine learning, cultivated through rigorous coursework and practical projects. Throughout my career, I've demonstrated proficiency in leveraging cloud technologies to streamline ETL processes and optimize data workflows for seamless deployment. My track record includes delivering production-ready projects on time, thanks to my adeptness with tools like AWS services, SSIS, Apache Airflow, and Snowflake services. My database skills encompass both relational and NoSQL databases, including Oracle, MySQL Server, PostgreSQL, MongoDB, and Cassandra. I excel in database schema modeling and design, ensuring efficient data storage and retrieval. Python serves as my primary language for backend configurations, data manipulation, and workflow automation. I leverage libraries such as Pandas, NumPy, Matplotlib, TensorFlow, and scikit-learn for robust data analysis and machine learning tasks. Plotly enhances my data visualization efforts, ensuring clear communication of insights. In project management, I rely on industry-standard tools like Jira, Terraform, GitLab, and Confluence to facilitate seamless collaboration and project tracking. My leadership skills shine through in managing teams, fostering continuous learning, and upholding high standards in data engineering practices. I'm well-versed in data streaming technologies like PySpark, Kafka, and Apache Airflow, as well as big data tools such as Hadoop, Hive, and Sqoop. My proficiency extends to data migration, cleansing, and profiling, ensuring data accuracy and quality throughout the data warehousing process. While my primary expertise lies in AWS, I've also gained exposure to Azure services, including Azure VMs, Blob Storage, Azure Functions, Azure Synapse, Azure Data Factory, and Data Lakes, adding versatility to my skill set.