Hi! I’m a Data Engineer with experience designing and optimising enterprise-scale data platforms and ETL/ELT pipelines for Fortune 500 clients across telecommunications, logistics, and financial services. My work has focused on improving data quality, pipeline efficiency, cloud data infrastructure, and enabling reliable analytics using technologies such as AWS, Snowflake, Kafka, Airflow, Redshift, Informatica, SQL, and Python.

What makes my journey unique is that I transitioned into data and technology from a Civil Engineering background and have successfully built a strong career in the field through continuous learning, adaptability, and hands-on problem solving. That experience has made me highly comfortable learning new technologies and working across evolving technical environments.

I’m currently completing an MSc in Big Data Analytics, with research focused on reinforcement learning, AI agents, and LLM-powered text-to-SQL systems. Alongside traditional data engineering, I’ve also been working with modern AI-assisted development workflows using Claude Code and GitHub Copilot Agents within enterprise-scale environments to improve engineering productivity and delivery speed.

I enjoy solving complex data problems, collaborating with cross-functional teams, and building scalable systems that create measurable business impact. I’m currently exploring opportunities primarily within Data Engineering and broader data-related fields where I can continue growing technically while contributing to high-impact projects.