Hey! I'm Tanner.
Data Engineer with 4 years of professional experience designing scalable data pipelines and cloud-native infrastructure. Highly Skilled in SQL, Python, Java, and AWS, with a strong foundation in application development and data architecture that drives actionable insights.
(I promise I’m not as boring as this page makes me out to be.)
(The real me smiles & laughs more.)
Couple of fun facts:
About Me
Data Engineer & Cloud Architect
Primary focus: optimization of data workflows and infrastructure, turning complex business requirements into efficient, reliable pipelines that deliver actionable insights and enable decision making.
Backed by over 10 years of development experience and 4 years of professional practice, I’ve built a foundation in crafting highly efficient and robust data solutions; leveraging SQL, Java, Python, AWS to bridge strategy with execution.
I operate at the intersection of application development and data architecture, enabling teams to unlock insights and make better decisions through reliable, well-structured, efficient data systems.
Core Expertise
Professional Experience
Head Data Engineer, Solutions Architect
Investment Services
USAA
- Architected and deployed enterprise-grade data infrastructure supporting investment services, enabling secure, high-throughput transaction processing with a strategic third-party partner.
- Established foundational data governance, documentation, and operational frameworks to ensure auditability, regulatory compliance, and long-term scalability.
- Led cross functional engineering efforts to design fault tolerant pipelines and cloud native platforms, guaranteeing seamless execution of Member investment transactions and supporting high-revenue business operations at scale.
Data Engineer
Member Feedback
USAA
- Engineered resilient ETL pipelines to process and standardize multi-source member feedback data, transforming unstructured after-call survey responses into high-fidelity datasets powering advanced analytics and executive decision-making.
- Optimized workflows for performance and cost efficiency across cloud platforms, while ensuring strict adherence to data quality, availability, and compliance standards.
- Partnered with business stakeholders to design data models that accelerated insights into customer sentiment, directly influencing product improvements and operational strategy in a high-volume enterprise environment.
AI/ML Engineer Intern
Life Events
USAA
- Designed, trained, and operationalized machine learning models predicting member life events with high accuracy, enabling proactive engagement strategies and precision-driven financial product recommendations.
- Delivered scalable ML services with robust MLOps pipelines for continuous retraining, monitoring, and deployment, ensuring model performance under real-world workloads.
- Collaborated with cross-functional teams to integrate predictive intelligence into core business workflows, improving personalization, deepening member relationships, and driving measurable revenue growth through data-driven customer engagement.
Education
Academic foundation in computer science and engineering
Master of Science in Computer Science
University of Texas at San Antonio
Concentration – Software Engineering
Key Achievements
- Honors: Summa Cum Laude
- Graduate coursework in Cloud Computing, Enterprise Database Systems, and Machine Learning
- Capstone project: Designed and deployed scalable ETL pipelines on AWS for real-time analytics
- Teaching Assistant for DS&A, Artificial Intelligence & Machine Learning
Associate of Science in Computer Engineering
Texas A&M University
Foundation & Activities
- Coursework in Digital Systems, Microprocessors, and Embedded Programming
- Hands-on lab projects involving circuit design and C programming for embedded systems
- Active member of the IEEE student chapter and TAMUHack participant
Projects
A showcase of full-stack applications, Data Engineering solutions, and innovative technical implementations
Member Feedback Playback Platform
Secure, web-based audio review platform for MSRs & Supervisors to analyze customer feedback.
Technologies
Document Search + RAG Assistant
Retrieval-augmented search for internal docs with answer summarization.
Technologies
Real-time ETL Dashboard (Capstone)
Streaming ETL that ingests events and displays live metrics and alerts.
Technologies
Tech Stack
Technologies and tools I use to build scalable, efficient, and innovative solutions
Core Programming
Languages and frameworks for application development
Programming Languages
Frontend Technologies
Backend & APIs
Data & Analytics
Platforms and tools for Enterprise-scale Data Processing and Machine Learning
Machine Learning & Data Science
Data Platforms
Cloud & Infrastructure
DevOps tools and cloud platforms for scalable deployment