Python Developer Resume Example and Template
A compelling Python Developer resume showcases expertise in modern frameworks like Django and FastAPI, database design, and shipped web applications. Lead with products you've built and the users you've served, not just libraries you know.
Employers seek full-stack capability, understanding of deployment and testing, and ability to own features end-to-end. Open-source contributions and side projects strengthen your candidacy.
A complete, realistic Python Developer resume, laid out in an ATS-tested template. The candidate is illustrative: the name, employers and figures were written for this example and identify no real person, so you can copy its structure and wording freely.
Updated September 2026
Also searched as
Senior Python Developer
Sofia Rodriguez: Python Developer
Miami, Florida, United States
Summary
Full-stack Python Developer with 7 years building web applications using Django and FastAPI. Shipped 22 production features serving 85K+ monthly active users with 99.8% uptime. Expert in REST APIs, database design, and async programming. Led team of 3 developers building real-time notification system processing 2.1M events daily.
Work Experience
Senior Python Developer, Streamline Commerce
Feb 2022 – Present. 140-person e-commerce platform startup serving 3,200+ online retailers
- Designed and shipped real-time notification system using FastAPI and Celery, processing 2.1M events daily and reducing merchant alert latency from 8 minutes to 2.1 seconds.
- Built product recommendation engine using collaborative filtering, improving conversion rate by 19% and increasing average order value by $12 for 85K monthly users.
- Optimized PostgreSQL database schema and queries, reducing slow query count by 91% and enabling platform to handle 3x user growth without infrastructure scaling.
- Mentored 3 junior Python developers on async programming, Django best practices, and API design using OpenAPI specifications.
Python Developer, DataViz Analytics
Aug 2019 – Jan 2022. 60-person analytics SaaS company providing business intelligence dashboards to 1,200 customers
- Developed 18 data processing pipelines using Django and Celery, transforming raw customer data into 48 distinct reports viewed 420K times monthly.
- Built time-series database query optimizer reducing report generation time from 4 minutes to 31 seconds for datasets with 500M+ records.
- Implemented comprehensive API testing strategy using pytest, achieving 89% code coverage and reducing production incidents by 43%.
Education
Florida International University
Bachelor of Science, Computer Science. Sep 2015 – May 2019
Skills
Python, Django, FastAPI, REST APIs, PostgreSQL, Celery, Async Programming, SQLAlchemy, pytest, Docker, Git, Redis
Languages
English, Spanish
Why this look works
Python development rewards clarity and straightforwardness. A clean, readable layout mirrors Python's philosophy of readable code. Modern teal and soft grays convey both technical sophistication and approachability, appealing to collaborative development teams.
Resume tips for this job
- Showcase real applications you've built, not just code snippets. 'Shipped real-time notification system processing 2.1M events daily' beats 'experienced with async programming'.
- Quantify user impact and scale. Mention monthly active users, API requests per day, or dataset size. Developers who've shipped at scale stand out to hiring managers.
- Show both breadth and depth. Name your core framework (Django or FastAPI), but also mention one advanced technique you've mastered like async/await or database optimization.
- Include testing discipline. Mention code coverage percentage or reduction in production incidents. Python roles increasingly prioritize test-driven development and code quality.
Common questions
Should I list every Python package and tool I've used, or just the big ones?
List technologies you've used in production: Django or FastAPI, core libraries like SQLAlchemy or Pydantic, testing tools, and deployment platforms. Name others only if the job description emphasizes them. Depth with your core stack impresses more than a long shallow list.
I mostly work with one framework like Django. Does that limit my opportunities?
Deep Django expertise is valuable and marketable. However, learning FastAPI or another async framework signals you understand Python broadly. If you've only used Django, mention any side projects with other tools; if none exist, learning async principles will strengthen your next role.
How do I highlight database work without sounding like a database administrator?
Focus on database design and query optimization from a developer perspective. Say 'optimized queries reducing report time from 4 minutes to 31 seconds' or 'designed normalized schema supporting 3x user growth'. Those show developer-level database thinking.