Python Software Engineer

Python Software Engineer — Apex Data Solutions

Denver, CO | July 2023 – Present

• Architected and deployed 14 RESTful microservices using FastAPI and Docker, reducing average server response latency by 28% and improving peak traffic stability for 250,000 active platform users.
• Designed and implemented a distributed background task queue using Celery and Redis, improving asynchronous event processing capacity by 40% and decreasing task loss rate to less than 0.05%.
• Optimized PostgreSQL database queries, index structures, and database connection pooling, decreasing slow-query execution times by 35% across 8 high-volume production transactional databases.
• Integrated OAuth2 and JWT authentication protocols for 6 external APIs, enhancing application endpoint security and reducing custom token validation times by 15% across all client microservices.

Associate Software Engineer — Summit Tech Partners

Boulder, CO | August 2021 – June 2023

• Developed 8 core web scraping and data extraction scripts using Python and BeautifulSoup, extracting 4.5M data points daily with a validated 99.8% system extraction success rate.
• Refactored legacy Flask web services into modular blueprints, improving code test coverage from 68% to 92% using pytest and automated mock testing frameworks over a 6-month system cleanup.
• Configured automated CI/CD pipelines in GitHub Actions for 3 central repositories, cutting build-and-deploy cycle times by 18 minutes and reducing integration deployment failures by 34%.
• Collaborated with front-end teams to debug and resolve 48 critical integration tickets, saving 12 developer-hours per sprint and accelerating weekly feature release schedules by 15%.

Python, Django, Flask, FastAPI, Celery, Redis, PostgreSQL, MySQL, MongoDB, AWS (EC2, S3, RDS), Docker, Kubernetes, Git, CI/CD (GitHub Actions), RESTful APIs, pytest, Test-Driven Development (TDD), Object-Oriented Programming (OOP)

Distributed Data Ingestion Engine

Role: Lead Backend Engineer

Tools: Python, Celery, Redis, AWS S3, Docker

Built a distributed ingestion pipeline handling 12M monthly files, reducing data ingestion failure rate from 4.2% to 0.1%.

API Gateway Optimization Project

Role: Python Engineer

Tools: FastAPI, PostgreSQL, Redis, Kubernetes

Optimized core routing logic and added caching layers, reducing peak response times by 34% and database load by 25%.

• Certified Professional in Python Programming (PCPP1) (2024)
• AWS Certified Developer – Associate (2022)

• Languages: English (Native), German (Conversational)
• Open Source: Contributor to FastAPI and pytest packages on GitHub
• Availability: 2 weeks notice