I am a Data Engineer with over 5 years of experience building scalable data pipelines and automations that transform raw data into strategic insights. My expertise lies in data modeling, ETL/ELT development, and modern data architectures such as Data Lakehouse and Medallion. I combine strong technical skills with business acumen to design data solutions that align with organizational goals.
I hold a postgraduate specialization in Data Engineering and am currently pursuing a second postgraduate degree in Software Engineering. Throughout my career, I have worked extensively with cloud platforms like GCP, AWS, and Azure, and have experience managing data workflows and pipelines using tools such as MageAI, Airflow, and Dagster.
My professional experience includes designing Medallion architectures with SCD Type 2 versioning in Snowflake, automating data ingestion and transformation processes, implementing data quality frameworks, and ensuring compliance with data protection regulations such as LGPD. I have also developed dashboards and reports using Power BI and Google Data Studio to support operational and strategic decision-making.
I am proficient in multiple programming languages and tools including Python, SQL, PySpark, Power Automate, and Excel VBA. Additionally, I have experience working with various databases such as PostgreSQL, ClickHouse, BigQuery, and SQL Server. I am passionate about leveraging data to drive business value and continuously improving data infrastructure and processes.
I am eager to contribute my skills and knowledge to innovative data projects and collaborate with teams to deliver impactful data solutions. I am committed to staying current with emerging technologies and best practices in data engineering and analytics.
