• Designed and implemented an event-driven backend system utilizing AWS services to handle real-time processing and aggregation of network traffic data across multiple AWS regions for Network Usage Capacity Heat Map.• Developed a scalable data pipeline architecture that automatically pulls real-time data every minute, efficiently processing and storing aggregated traffic data in S3 buckets. The system enables up-to-date visualization of network traffic volumes and ensures proactive monitoring of traffic anomalies to maintain sufficient network capacity.• Designed and integrated a RESTful API using API Gateway to retrieve and display aggregated network traffic data, enabling the visualization of network traffic, identification of capacity trends, and display of real-time and historical data on a World Heat Map.

• Designed, built, and deployed a fully automated system for deleting or refreshing unused files in S3 buckets using Python scripts, resulting in a 90% reduction in manual processing time and the risk of human errors• Authored comprehensive unit tests to validate the functionality of the automated system, ensuring code reliability and minimizing the regression risk• Configured New Relic alerts to catch errors, prevent downtime, and improve availability for Edge ETL Team infrastructure• Collaborated closely with cross-functional Agile teams of 15+ to identify areas for process improvement and automation, resulting in increased productivity and streamlined operations

• Demonstrated advanced proficiency in Amazon Web Services by configuring a customized VPC for hosting a high-performance Relational Database on EC2 instances with Elastic Block Storage• Optimized data selection by utilizing complex SQL operations, resulting in improved query performance and accuracy.

Advisor: Dr. Mark Gallo• Conducted comprehensive analysis of antibiotic resistance in Staphylococcus strains from wild animals• Delivered presentations on research titled "Methicillin Resistance in Staphylococcus Associated with White-Tailed Deer" at the 73rd Annual Eastern Colleges Science Conference and Niagara University Undergraduate Research Conference 2019