Python Resume
The standard LaTeX format used by senior engineers to pass technical screens at firms like Atlassian and Apple. Clean, data-driven, and built for ATS compatibility.
Emily Robinson
emily.robinson@proton.me • +1 (951) 920-5456 • github.com/emilyrobinso • linkedin.com/in/emily-robinson
Education
Technical Skills
Languages: Python, SQL, Go, Bash, JavaScript (ES6+), C++
Frameworks: Django, FastAPI, Flask, Pytest, Celery, SQLAlchemy, Pandas
Tools: AWS (EC2, RDS, Lambda), Docker, Kubernetes, Terraform, Redis, PostgreSQL, Git
Professional Experience
- Re-architected a legacy Django monolith into a FastAPI-based microservices mesh, reducing P99 latency by 140ms for 2M+ monthly active users.
- Optimized PostgreSQL query performance by implementing a strategic indexing and partitioning strategy, cutting CPU utilization by 35% during peak traffic windows.
- Mentored a team of 4 junior developers and established standardized Pytest and MyPy configurations, increasing unit test coverage from 65% to 92% across core services.
- Built a high-throughput data ingestion pipeline using Python and Redis Streams that processed 1.5B+ events daily with 99.99% reliability for the Siri Analytics team.
- Developed an internal CLI tool in Python to automate environment provisioning on AWS, reducing the onboarding time for new engineers from 3 days to 2 hours.
Projects
- Designed a lightweight alternative to Celery that handles 8,000 tasks per second with lower memory overhead, utilizing gRPC for inter-service communication.
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Write Bullets That Prove Seniority
Stop listing responsibilities and start documenting the specific technical debt you cleared and the scale you handled.
❌ Vague/Generic
Responsible for writing Python scripts for the backend and fixing bugs.
✓ Impact-Focused
Refactored legacy Python 2.7 scripts to Python 3.10 and implemented asynchronous processing with asyncio, resulting in a 4x increase in data processing throughput.
Copied!Why it works: It specifies the version upgrade, the specific technical approach (asyncio), and the measurable performance gain.
❌ Task-Focused
Used Django and PostgreSQL to build an e-commerce API.
✓ Results-Driven
Developed a multi-tenant Django REST API supporting 10k+ concurrent requests using Redis for session caching and PostgreSQL for persistent storage.
Copied!Why it works: It provides a sense of scale (10k requests) and explains the architectural role of each technology in the stack.
❌ No Metrics
Improved the speed of the company's internal data processing tool.
✓ Quantified Achievement
Identified and resolved memory leaks in a Python-based ETL pipeline using memory-profiler, reducing AWS Lambda execution costs by $1,200/month.
Copied!Why it works: It shows you can use profiling tools and connects your technical work directly to business cost savings.
❌ Passive Voice
Was involved in a project that migrated services to the cloud.
✓ Action-Oriented
Orchestrated the containerization of 12 Python microservices using Docker and Kubernetes, streamlining the deployment pipeline and achieving a 99.95% uptime SLA.
Copied!Why it works: Active verbs like 'Orchestrated' and 'Streamlining' project leadership and ownership of the infrastructure.
Common Questions from Python Developers
Practical advice on structuring your experience, from library selection to quantifying backend impact.
Should I list every Python library I've ever used?
No. Hiring managers want to see that you understand the core ecosystem. Focus on the 'big' ones like Django, FastAPI, or SQLAlchemy. Listing 50 niche libraries just creates noise and makes it harder to find your actual strengths.
Is it worth mentioning Python 2 experience anymore?
Only if the role specifically mentions a legacy migration project. Otherwise, emphasize your proficiency with modern Python (3.9+) features like type hinting, asyncio, and f-strings to show your skills are current.
How do I show 'Seniority' on a Python resume if I don't manage people?
Seniority is about technical ownership. Talk about the time you prevented a production outage, how you improved the build system for everyone else, or how you chose an architecture that scaled better than the previous version.
What's the best way to mention cloud experience like AWS or GCP?
Don't just list them as keywords. Explain how you used them with Python. For example: 'Deployed a Flask application on AWS ECS using Fargate' is much better than just having 'AWS' in a list of skills.
What are the most common red flags for Python developers?
A total lack of testing frameworks (Pytest/Unittest) and no mention of virtualization or containerization (Docker). Modern Python development is as much about the environment and testing as it is about the code itself.
Should I include my GitHub link?
Only if it has recent activity or a project you're proud of. A link to a GitHub with only forked repos or empty projects looks worse than no link at all. Quality over quantity.
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