Felix De Leon Guzman
About Felix De Leon Guzman
Felix De Leon Guzman is a Data Engineer at Fannie Mae in Reston, Virginia, with a background in IT and data engineering roles at various organizations and a Master's degree in Computer Software Engineering from George Mason University.
Professional Title and Current Role
Felix De Leon Guzman holds the title of Data Engineer and is currently employed at Fannie Mae in Reston, Virginia, United States.
Previous Work Experience
Felix has prior experience working at various organizations. He served as an IT Technical Analyst at W. L. Gore & Associates in Wernersville, Pennsylvania, for 2 months in 2020. He also worked as an Information Technology Intern at Foxdale Village in State College, Pennsylvania, from 2019 to 2020 for 4 months. Additionally, he held two tutoring positions at Penn State University; one as a Part-Time Peer Tutor from 2018 to 2020 for 2 years and another as a Homework Helpline Tutor from 2018 to 2019 for 8 months in Reading, Pennsylvania.
Education and Degrees Achieved
Felix pursued higher education at George Mason University, where he earned a Master of Science in Computer Software Engineering from 2023 to 2024. Prior to this, he completed his Bachelor's degree in Computer Science at Penn State University.
Key Projects and Technical Expertise
Felix's technical expertise includes developing ETL pipelines to facilitate efficient data transfers from on-premise tables to AWS Redshift, conducting rigorous data testing and validation procedures, and rehosting ETL pipelines to AWS EC2 using Autosys and Informatica. He has automated various ETL tasks using shell scripts and AWS Lambda, architected cloud solutions utilizing services such as Lambda, S3, Eventbridge, EC2, SNS, SQS, CloudFormation, and SAM, and played a crucial role in data consolidation and analysis.
Cloud Solutions and Automation
In his role at Fannie Mae, Felix architected various cloud solutions leveraging AWS services, such as Lambda, S3, Eventbridge, EC2, SNS, SQS, CloudFormation, and SAM. He improved efficiency by automating tasks within ETL pipelines using shell scripts and AWS Lambda. Additionally, he has been instrumental in supporting data file sourcing and vending operations within ETL pipelines.