Hello!
I'm Javier Moliner
Software Engineer with 2+ years of
experience in .NET and SQL.
WHO AM I?
Computer engineer with over 2 years of experience as a SQL and .NET developer, designing integration systems between ERP and WMS platforms and resolving 1,000+ production incidents across a large enterprise group. I specialize in process automation using stored procedures, triggers, and internal tools that improve data integrity and operational efficiency. My working toolkit also includes Python, alongside SQL — the two fundamental languages in data science and data analysis — and I've put them to work building my own data automation project: a Python pipeline that integrates external APIs, uses an LLM to evaluate and score information in a structured way, and presents the results in an interactive dashboard. I'm currently expanding into data analytics — completing certifications in Python, Tableau, and Google Analytics — with the goal of transitioning into a data analyst role in the Korean tech industry.
WHERE DID I STUDY?
I studied Computer Engineering for four years at Universitat Jaume I (Spain), where I built the strong technical and analytical foundation I still lean on today — the same analytical mindset I now apply to data analysis. Along the way, I also completed a one-year academic exchange at Sejong University (South Korea), an experience that broadened my international outlook, immersed me in a different academic and professional culture, and taught me to adapt quickly to new environments.
ABOUT ME
I am passionate about technology, data analysis, and digital innovation, and I'm always looking to go deeper into the tools and methodologies of data analysis and data science. Beyond the technical side, I am a collaborative person who works well in a team and keeps an open mind toward continuous learning — always willing to learn new technologies, ideas, and ways of working, not just on a technical level but also in how I cooperate with teams and profiles different from my own. I believe that kind of profile — collaborative, curious, and adaptable — matters just as much as technical knowledge in a data analyst role. When I'm not analyzing data, I enjoy exploring Asian culture, discovering new perspectives through cinema, and playing sport to stay healthy both mentally and physically.