Open to opportunities

Jesse Davis

@jessedavis

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Experienced software engineer specializing in Python and data engineering.

United States

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What I'm looking for

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

I am an experienced and results-driven software engineer with over 9 years of expertise in Python development, data engineering, and full-stack engineering. My proven track record includes designing and implementing scalable data pipelines, microservices architectures, and cloud-based solutions. I excel at leveraging modern technologies such as AWS, Docker, Kubernetes, and various Python frameworks to enhance performance, security, and user experience.

Throughout my career, I have led cross-functional teams, mentored junior developers, and collaborated with stakeholders to deliver high-quality, innovative solutions. At Anthropic, I directed the design of a high-performance data processing platform, improving processing speed by 50%. I am passionate about creating efficient systems and fostering a collaborative work environment that drives successful project outcomes.

Experience

Work history, roles, and key accomplishments

Current

Principal Software Engineer

Current

Anthropic

Jun 2022 - Present (4 years 1 month)

Directed the design and implementation of a high-performance data processing platform using Python, Django, and AWS Lambda, improving processing speed by 50%. Developed and maintained scalable APIs with Flask and FastAPI, enhancing data exchange between services.

Python Django AWS Lambda Flask fastAPI JWT Docker Kubernetes PostgreSQL

Lead Python Developer

Generative AI

Mar 2019 - Jun 2022 (3 years 3 months)

Architected and deployed a robust microservices-based application using Django and Kubernetes. Automated data ingestion and ETL processes with Python and Apache Airflow, reducing manual effort and errors by 40%.

Airflow Django Kubernetes Python React AWS Microservices ETL API Integration

Senior Full Stack Engineer

XeoDev

Jan 2017 - Mar 2019 (2 years 2 months)

Architected and deployed a microservices-based application using Django and Kubernetes. Automated data ingestion and ETL processes with Python and Apache Airflow, achieving a 25% improvement in page load times.

Django Kubernetes Python React AWS Microservices ETL API Integration Airflow

Python Developer

SDSol Technologies

Dec 2015 - Jan 2017 (1 year 1 month)

Architected and deployed a microservices-based application using Django and Kubernetes. Automated data ingestion and ETL processes with Python and Apache Airflow, enhancing application scalability and reliability.

Django Kubernetes Python React AWS Microservices ETL API Integration Airflow

Education

Degrees, certifications, and relevant coursework

Florida Gulf Coast University

Bachelor of Science, Computer Science

2011 - 2015

Completed a Bachelor of Science in Computer Science, focusing on software development, data structures, algorithms, and system design. Gained hands-on experience through projects and internships, enhancing practical skills in programming and software engineering.