Close

Xavion Barrs

Full-Stack Application Engineer

Fintech • Cloud Architecture • Data Engineering

View Resume
About me image

About Me

Experienced Full-Stack Application Engineer at Raymond James with 3+ years of expertise in designing and implementing enterprise-level fintech applications. Specialized in .NET Core and Python microservices architecture deployed on Kubernetes, with a proven track record of improving operational efficiency by 20-30% and processing speeds by up to 50%.

I excel in both front-end technologies (Angular, TypeScript) and backend systems (.NET, Python/Flask), with extensive experience in cloud architecture using AWS services. My expertise includes building scalable data lake pipelines with AWS Glue, Terraform, and Airflow, managing large datasets (1TB+), and ensuring 99.9% system reliability.

Passionate about solving complex financial technology challenges, I've successfully delivered critical applications for mortgage-backed securities analytics, municipal bond trading tools, and paying agent systems that have directly improved business outcomes and user adoption rates.

Professional Experience

Raymond James

Full-Stack Application Engineer

St. Petersburg, FL
  • Designed and implemented .NET Core and Python/Flask microservices (including CECL) deployed on Kubernetes, improving data aggregation and operational efficiency by 20–30%
  • Developed fintech applications with MySQL and SQL Server, optimizing queries and ensuring 99.9% reliability for large datasets (1TB+)
  • Built and deployed a mortgage-backed securities analytics tool using Angular, .NET, and MS SQL Server, increasing analysis speed by 50%
  • Created a Python/Flask tool for municipal bond traders, reducing task time from 60 to 10 minutes
  • Engineered an AWS Glue, Terraform, and Airflow data lake pipeline, cutting processing time by 40%
  • Directed a paying agent application redesign, streamlining workflows, reducing errors by 70%, and improving adoption by 20%
  • Collaborated with cross-functional teams to deliver features, fix critical bugs, and boost sprint velocity by 30%

Education

University of Central Florida

August 2022 - April 2024

Master of Science in Financial Technology

University of Central Florida

June 2018 - December 2021

Bachelor of Science in Information Technology

Projects

Ravenous

A React-based restaurant discovery web application that integrates with the Yelp API to retrieve comprehensive restaurant listings for specific locations. Features dynamic search functionality, responsive design, and real-time data fetching.

Technologies: React, JavaScript, Yelp API, ES6+, CSS3, HTTP Requests
View Project

Orlando Food Picker

A React-based web application that helps users discover new dining experiences in Orlando. Features a curated list of local restaurants with filtering by cuisine type, Google Maps API integration for location display, and real-time distance calculations from user's location.

Technologies: React, JavaScript, Google Maps API, HTML/CSS, Responsive Design
View Project

EpiCook

A cross-platform mobile application built with Flutter that enables users to search for recipes, find ingredients, and access cooking instructions. Implements Firebase cloud functions for data retrieval and user authentication with secure user management.

Technologies: Flutter, Dart, Firebase, Cloud Functions, Authentication, NoSQL Database
View Project

Spotify Lyrics

A Flask-powered web application that seamlessly integrates Spotify's API with lyrics services to display real-time lyrics for currently playing tracks. Features OAuth authentication, API integration, and responsive web design.

Technologies: Python, Flask, Spotify API, OAuth2, HTML/CSS, RESTful APIs
View Project

NBA Dashboard

A comprehensive data visualization dashboard for exploring NBA statistics throughout the 2020-2021 season. Features interactive charts, player comparisons, and team analytics with responsive design for optimal viewing across devices.

Technologies: Python, Flask, Data Visualization, APIs, HTML/CSS, JavaScript
View Project

Basketball Reference Player Finder

Finds the stats for a user entered NBA player in a user entered year. Created using Flask for the backend.

View Project

Technical Skills

Core Languages

Python 3+ years • Data pipelines, Flask APIs, AWS Glue
C# / .NET Core 3+ years • Enterprise applications, microservices
TypeScript 3+ years • Angular frontends, type-safe development
SQL 3+ years • Query optimization, 1TB+ datasets
JavaScript React, vanilla JS, DOM manipulation

Frameworks & Tools

Angular Production apps • MBS analytics tool
Flask Municipal bond trading tools • API development
Entity Framework ORM for .NET applications
React Personal projects • SPA development
Flutter Mobile app development • Cross-platform

Data & Infrastructure

SQL Server Production databases • Performance optimization
MySQL Web applications • Data modeling
AWS Certified • Glue, Lambda, S3, EC2
Kubernetes Microservices deployment • Container orchestration
Docker Containerization • Development environments
Terraform Infrastructure as Code • AWS provisioning

Certifications

AWS Certified Cloud Practitioner

Amazon Web Services

Foundational understanding of AWS Cloud concepts, services, security, architecture, pricing, and support.

Let's Build Something Amazing Together

I'm always excited to discuss new opportunities, innovative projects, and how my expertise in fintech and full-stack development can drive your organization's success.

Email Me

Quick response for project inquiries

xavionbarrs@gmail.com

Connect on LinkedIn

Let's expand our professional network

View Profile

Or Send a Message