Hi :)

I’m currently a Data Engineer, but my journey started in research. I’ve always been drawn to understanding how things work beneath the surface—whether that meant analyzing biological datasets, experimenting with machine learning models, or studying the complexities of supply chains. Over time, that curiosity naturally evolved into a passion for building the systems that make meaningful analysis possible.

Today, I design and maintain the data pipelines and infrastructure that organizations rely on to make better decisions. I enjoy the practical, engineering side of the work: optimizing processes, automating what used to be manual and error‑prone, and ensuring that data is reliable, accessible, and ready for use in analytics, AI, and GenAI applications. I’ve built solutions across multiple domains, from healthcare and finance to supply chain and biological data—each field shaping the way I think about data quality, regulation, and scalability.

Even though I now work in industry, the researcher in me never really went away. I still care deeply about the scientific process: asking questions, experimenting, and finding elegant solutions to complex problems. My experience across different sectors has taught me how data engineering can support scientific discovery, and I’m motivated by roles that sit at that intersection—where rigorous research meets robust engineering.

I’m passionate about using data, automation, and thoughtful design to make systems more intelligent, more resilient, and more useful. And I’m always open to opportunities that let me blend my engineering expertise with my research mindset.

Contact: ezequielscott@gmail.com