I have been specializing in Python programming and software development since 2014, with a strong focus on automation scripting, ETL pipelines, and web data ingestion systems. My expertise lies in creating efficient, scalable automation solutions and data pipelines, applying Test-Driven Development (TDD) and Clean Code principles to deliver maintainable and reliable systems.
I have extensive experience integrating APIs such as Amazon SP-API, MWS, SKUVault, ShipStation, and InkSoft, designing and enhancing automation scripts and ETL processes tailored to these platforms. My work has included building data pipelines, automated reporting systems, and workflow orchestration using Python, Pandas, Power Query, and batch scripting.
More recently, I have been building full-stack projects that combine FastAPI and Python backends with React.js frontends, deployed on Google Cloud Platform (GCP). The frontend development is AI-assisted (Vibe Coding), allowing rapid prototyping while I focus on backend design, API integration, and cloud deployment, emphasizing seamless backend-frontend integration.
All of the skills in my profile are self-taught, reflecting a strong commitment to continuous learning and staying current with evolving technologies. I hold a Magna Cum Laude graduate degree and received the Best Paper Award at a national conference during my master’s program. My goal is to contribute to a company where I can leverage my automation, data engineering, and full-stack development expertise, continue to learn and improve, and grow alongside the organization to achieve mutual success.
