Ing. B•••

About

On the record

I’m a Data Engineer with a strong background in analytics, automation, and scalable data architecture. Over the past several years, I’ve transitioned from data analysis into data engineering — designing and maintaining end-to-end pipelines that make data accessible, reliable, and ready for decision-making. I work daily with tools like dbt Core/Cloud, Python, Apache Airflow, and Databricks, and I’m experienced in managing ETL/ELT processes, data modeling, and CI/CD in GitHub. My focus is always on building efficient and business-aligned data solutions that empower teams to work smarter. Previously, I worked across analytics and business intelligence, creating dashboards, reports, and marketing attribution models using platforms like BigQuery, Looker, GoodData or Power BI. This background helps me bridge the gap between technical data engineering and business impact. I’m passionate about continuous learning and knowledge sharing — having participated in DataPunkers meetups and internal webinars and knowledge sharing sessions focused on best data practices and modern tooling.