Data Engineer

Data Engineer with experience in end-to-end projects, transforming large volumes of data into scalable and reliable analytical solutions. I develop ETL/ELT pipelines using Python, SQL, dbt, and Spark/PySpark, ensuring data is ready for critical reporting and strategic decision-making. I work with Microsoft Fabric (Pipelines, Lakehouse, Spark/PySpark Notebooks, and Delta Tables), build serverless solutions on AWS and Azure, and develop automations with Power Apps and Power Automate. Additionally, I design modern data architectures (Data Warehouses, Data Lakes, Lakehouses), and Infrastructure as Code (IaC - Terraform). My focus is on performance, governance, versioning with Git, and automated testing, delivering robust pipelines and trustworthy data to support high-impact analysis and decisions.