About

I believe the best analytics work happens when human understanding is combined with data-driven decision-making.

I’m a Senior Analytics Engineer with 12+ years of experience designing transformation layers, building scalable analytics models, and delivering trusted reporting for enterprise environments. My work focuses on turning fragmented source data into clear business logic, consistent metrics, and decision-ready insight.

I work SQL-first and model-driven, using Spark and PySpark where scale requires it. Across Microsoft Fabric, Power BI, Python, PostgreSQL, and dbt-style transformation design, I build analytics systems that are scalable, explainable, and ready for real business use.

My background is a little unusual: I started as an Environmental Engineer and later transitioned into data. That path shaped how I approach problems today: with curiosity, structured thinking, and a strong focus on practical outcomes.

I do not work only as a dashboard developer or only as a data engineer. I connect business analysis, systems thinking, and analytics engineering, which helps me define metrics clearly, structure transformation logic, and deliver reporting that people can trust.

Much of my professional work is confidential, so this portfolio uses selected case studies and sanitized visuals to show how I think about analytics systems: data flows, transformation layers, metric logic, governance, model design, and business outcomes.

I’m currently open to new opportunities in Analytics Engineering, Data Engineering, and modern BI roles.