About Me
Hi my name is Nathan Nguyen and I am Full Stack Web Developer / Data Engineer. Over my career I've worked with many different technologies for building analytical applications from end to end. I specialize in Python mainly so I can focus on the analytical side, however I do enjoy learning about all the different components to go into an building a product. I'm always looking to grow my knowledge by researching modern stacks and exploring new technologies. Some other things I'm involved in are serving US Army National Guard and teaching sunday school at my local church. I also enjoy playing and watching sports.
Experience
J.P. Morgan Chase
Software Engineer II (January 2022 – September 2023)- Built resilient data pipelies using Python to ingest large-scale risk data for quantitative analytics
- Maintained and created RESTful API services using GraphQL for external data distribution
- Organized data into object-oriented models to simplify data flow
- Developed pricing models for distribution onto AWS and reduced risk calculation cost by over 30%
- Proposed architecture plans for implementing new services to modernize our tech stack
- Managed requirements and objectives when coordinating services with international and local teams
- Supported time sensitive ad hoc requests for live services used by front office, middle office, and external clients
- Regression tested new releases to plan objectives for code changes and bug fixes
Dunavant Logistics
Software Engineer (November 2020 – July 2021)- Deployed a DevOps and an authentication management application with Django, Docker, PostgreSQL, AWS
- Built data pipelines for ADP, LogMeIn, GitHub, and Active Directory using OAuth2 API’s and LDAP
- Designed Google material dashboards that displayed real time graphs and metrics
- Provided GitHub documentation on code infrastructure and use cases
Re-Trans
Software Engineer (January 2019 – November 2020)- Wrote and maintained unit and integration tests for our Python, HTML, CSS, and JavaScript code base
- Released internal learning content management system using Wagtail
- Refactored code to allow for newly developed features
- Followed Scrum procedures and Agile development lifecycles to develop products that meet customer needs
Skills
Languages
| Python | 6yrs |
| HTML | 6yrs |
| CSS | 6yrs |
| JavaScript | 6yrs |
| Java | 2yrs |
Technologies
| AWS | 2yrs |
| Docker | 2yrs |
| ELK Stack | 2yrs |
| Git | 7yrs |
| GitHub | 3yrs |
| GitLab | 3yrs |
| Ubuntu | 2yrs |
| openSUSE | 3yrs |
| redis | 1yr |
| ActiveDirectory | 2yr |
Programming
| Wagtail | 1yr |
| Django | 4yrs |
| React.js | 1yr |
| AJAX | 2yrs |
| PostgresSQL | 3yrs |
| MySQL | 4yrs |
| NoSQL | 2yrs |
| tensorflow | 1yr |
| keras | 1yr |
| pytorch | 1yr |
| pandas | 2yrs |
| OAuth2 | 4yrs |
| RESTful API | 4yrs |
| GraphQL | 2yrs |
Other
| Agile | 5yrs |
| Scrum | 2yrs |
| Jira / Confluence | 2yrs |
Projects
Risk Service
- Processed adhoc requests through our GraphQL instance to calculate risk variables for stocks and options
- Modeled big data into a tree for more efficient calculations which ultimately saved us over 30% in compute time and cost
- Demonstrated usage with our AWS cloud infrastructure where I presented findings to other teams
TREX
- Staged raw and processed stock data to be used by traders and quants alike
- Set up reliable data pipelines for over 40GB/day to our quantitative research teams
- Managed permissions for our clients to safeguard sensitive actions
Wagtail LCMS
- Built a learning content management system using Wagtail and Django to organize learning pipelines
- Integrated MySQL to store SOP documents, training pipelines, and user learning progress
- Wrote page templates for SOP documents, quizzes, and video tutorials using HTML, CSS, JavaScript
Education
Azure Fundamentals Certification
Completed May 2024
University of Memphis
B.S. Computer Engineering
Graduated May 2020
GPA 3.4
About this page
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Created using HTML, CSS, and JavaScript
View the code on GitHub by clicking on the icon below
gunthins/nathannguyen-resume