Open to opportunities

Afeefa Z

@afeefaz

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Full-Stack Python Engineer with expertise in cloud-native solutions.

United States

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What I'm looking for

I am looking for a role that fosters innovation and collaboration, with opportunities for growth and impactful projects.

I am a Full-Stack Python Engineer with nearly 7 years of experience in developing robust applications for Fortune 500 companies and high-growth startups. My specialization in Agile frameworks and DevOps practices has allowed me to design cloud-native solutions using AWS and Azure effectively. I take pride in implementing CI/CD pipelines and microservices architectures while maintaining clean code through SOLID principles and design patterns.

In my current role as a Senior Python Developer at Greenpearls, I have architected a Django-based microservices platform that significantly reduced API latency and scaled to accommodate concurrent users. My work on a real-time data pipeline with FastAPI and Celery cut ETL runtime from 6 hours to just 1 hour. I also focus on mentoring junior developers, ensuring best practices in Python are upheld, which has led to achieving 90% code coverage across core services.

Throughout my career, I have consistently sought to innovate and optimize processes, such as automating financial report generation and designing a fraud detection system with 96% accuracy. I am passionate about leveraging my skills to drive efficiency and quality in software development.

Experience

Work history, roles, and key accomplishments

Current

Senior Python Developer

Current

Greenpearls

Jan 2020 - Present (5 years 6 months)

Architected a Django-based microservices platform for fintech analytics, reducing API latency and scaling to concurrent users. Built a real-time data pipeline with FastAPI and Celery, processing records daily and cutting ETL runtime from 6 hours to 1 hour.

Django fastAPI Celery PostgreSQL Kubernetes AWS Microservices ETL ORM CI CD

Python Backend Engineer

AltitudeTech

Jan 2019 - Present (6 years 6 months)

Trained and fine-tuned predictive Machine Learning algorithms using Python and PyTorch, boosting reliability and automating workflows that saved engineering hours annually. Automated financial report generation with Pandas and Jupyter, saving analysts 20+ hours/week and reducing manual errors.

Python PyTorch Pandas Jupyter scikit learn MongoDB PostgreSQL SQLAlchemy Pytest OAUTH2 JWT

Python Developer

Oscar Health

Jan 2017 - Present (8 years 6 months)

Built a patient data dashboard with Django and Plotly, enabling users to track record histories and reducing support tickets. Implemented Test-Driven Development TDD practices, leading to a significant reduction in post-release bugs, ensuring higher software quality.

Django Plotly Flask TDD Python API Documentation