Sam Pink

I am a seasoned Data Engineer with over six years of experience specializing in back-end development, cloud-based solutions, and data engineering. Currently based in the UK, I bring a comprehensive skill set that ranges from Python, ETL pipelines, Docker, to AWS—making me an ideal fit for the Python Developer role at Cathcart Associates Group Ltd.

My career has been marked by successful collaborations with cross-functional teams and stakeholders, resulting in high levels of satisfaction and business growth. I am particularly proud of my work at ETH Global NYC 2022, where I was recognized for excellence in the field.

My technical foundation is solidified by a BSc in Computer Science from the University of Reading, where I honed my skills in back-end development, cloud computing, and data analysis. My educational background also includes a dissertation that focused on machine learning models for predicting booking cancellations with 80% accuracy—a testament to my analytical capabilities.

I have a strong affinity for Agile methodologies, which I've employed across various roles to deliver high-quality code and products. I'm comfortable working in both remote and hybrid settings, aligning well with the flexible work model offered by Cathcart Associates.

While I have in-depth experience with Azure, I am excited about the opportunity to further leverage my skills in AWS in a dynamic, tech-for-good environment. I am eager to contribute to your leading analytics application and to be a part of a team that drives critical decision-making through technology.

I am looking forward to the possibility of contributing my diverse skill set to your esteemed organization and am ready to take up the challenges of this critical project.

With over 6 years of experience in data engineering and back-end development, I've successfully delivered cloud-based solutions across various industries. Specializing in Python, ETL pipelines, and API development, I've led cross-functional teams and forged strong stakeholder relationships. My work has been recognized for excellence at ETH Global NYC 2022.

I hold a BSc in Computer Science from the University of Reading, where I specialized in back-end development and data analysis. My dissertation focused on machine learning models to predict booking cancellations with an 80% accuracy rate, showcasing my analytical and technical prowess.