Kenny Rogers
AI Software Engineer | Machine Learning & Data-Driven Applications
- Role
- Data Engineer - Practicum at The Home Depot
- Location
- Avondale, AZ, US
- LinkedIn followers
- 500 followers
About Kenny Rogers
I am a software engineer with experience building scalable, data-driven systems across fintech, public-sector platforms, and healthcare. My work sits at the intersection of software engineering, cloud infrastructure, and applied AI, with a focus on designing reliable, production-ready systems that operate at scale.I have contributed to backend and full-stack platforms serving thousands of users and high-volume financial and operational workloads, including nationwide payroll and social security systems and digital health applications. My experience spans microservices, APIs, data pipelines, performance optimization, and data quality, with an emphasis on system reliability and maintainability.Alongside industry experience, I have developed a strong foundation in machine learning, analytics, and large-scale data processing through graduate study. I am currently pursuing an MS in Business Analytics (STEM) at Emory University (Goizueta Business School), and I hold a Master of Science in Information Technology (MSIT) from Carnegie Mellon University, with a concentration in Cloud Infrastructure and Computing. My academic training includes deep learning, big data systems, and applied analytics using real-world datasets.Technically, I work comfortably with Python, Java, SQL, Spark, AWS, and modern data and ML tooling, and I enjoy bridging the gap between data, AI models, and production software.I’m interested in opportunities where I can build AI-enabled, cloud-native systems and continue growing as a software engineer working on impactful, real-world problems.
Experience
Data Engineer - Practicum
Nov 2025 — Present · Atlanta, GA, US
Develop batch ETL pipelines to process structured and semi-structured dataDesign data models to support efficient analytics and reportingImplement data transformations to ensure data quality and reliabilityApply NLP techniques to structure unstructured text dataBuild solutions on GCP (BigQuery) for scalable data processing
Education
Carnegie Mellon University
Master of Science, Information Technology
Emory University - Goizueta Business School
Master of Science, Science, Technology, Engineering, and Mathematics
Emory University - Goizueta Business School
Master of Science, Business Analytics
Adventist University of Central Africa - AUCA
Bachelor of Science
Cisco Networking Academy
NDG Linux Essentials
ADVENTIST UNIVERSITY OF EAST AND CENTRAL AFRICA
undergraduate, Information Technology
2019 — 2023
Carnegie Mellon University
Master's degree, Information Technology
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