As a Data Engineer, I deliver powerful data-driven products that enable innovative business models for our clients. I leverage my SQL and Python skills to build and maintain scalable and reliable data pipelines, databases, and data science solutions. I also use modern data integration and orchestration tools to streamline and automate the data workflow. I have a strong technical knowledge of database programming and architecture, and a keen interest in ETL, business intelligence and data analysis. I graduated from Penn State University with a Bachelor of Science degree in Engineering, and I have obtained multiple certifications in SQL, Python, and Machine Learning. I have also published several articles on data engineering topics, such as big data integration, data transformation, and workflow orchestration for an audience of data scientists, data analysts and data engineers. I am dedicated to delivering comprehensive AWS/Azure database and business intelligence support to diagnose and resolve unique and recurring problems, while managing multiple projects within strict deadlines. >> Led small team of 3 and coordinated development activities resulting in a scalable data warehousing solution reducing operating costs by 25%. >> Reduced vendor evaluation process by 40% by streamlining data from individual spreadsheets to a central repository for consumption by Power BI dashboard. >> Increased data accuracy by 55% by creating an automated data pipeline for a central repository single source of truth. >> Achieved performance increase of 15% by migrating data warehouse from SQL Server on-prem to AWS Redshift.