Data Engineer with 7 years of experience building scalable, reliable, and production-ready data systems. I specialize in designing end-to-end data pipelines (ETL/ELT), distributed processing (Spark/Scala), and modern data architectures across cloud and on-prem environments. Over the years, I’ve worked on real-world projects involving large volumes of data, performance optimization, automation, and ensuring high data quality for business-critical use cases.

I collaborate closely with a wide range of data professionals, including Data Analysts, BI teams, Data Scientists, ML Engineers, and Product stakeholders, to deliver data that is trusted, accessible, and actionable. I’m passionate about turning complex technical concepts into clear learning paths, which led me to publish an Udemy course to share practical knowledge and help others grow in the data field—whether they aim to work in Data Engineering, Analytics, BI, or Data Science.