I’m a software engineer with over three years of experience building backend systems, managing databases, and developing automation solutions that make technology more reliable and scalable. My expertise spans C#, SQL, Python, and cloud technologies like Azure Data Factory, with a strong track record of improving performance, streamlining workflows, and supporting data-driven decision-making.

At Nagnoi, I’ve led projects such as migrating a legacy database to Azure SQL — improving both efficiency and maintainability — and developed automation tools with PowerShell and Python that reduced repetitive tasks for my team. I’ve also enhanced deployment pipelines using JavaScript and YAML, cutting down errors and enabling smoother releases. These experiences have shaped me into a problem-solver who values both technical excellence and collaboration.

Beyond my professional work, I’m driven by curiosity and a desire to learn. I’ve contributed to diverse projects, from building a web scraping QA tool in Python to designing backup tracking systems in SQL. Each challenge has deepened my ability to analyze problems, design scalable solutions, and deliver results that matter.

I hold a Bachelor of Science in Computer Science from the University of Puerto Rico – Mayagüez, where I strengthened my foundation in databases, algorithms, and software engineering. I’m also certified in Microsoft Azure Fundamentals (AZ-900), and I’m continuously expanding my skills to stay at the forefront of cloud and data engineering.

What excites me most about software engineering is the opportunity to transform complex problems into clear, dependable solutions that empower people and organizations. Whether it’s optimizing a data pipeline, collaborating with teammates in Agile sprints, or mentoring others, I bring energy, adaptability, and a focus on impact to every project I take on.