A Data Engineer with over three years of experience and a Bachelor of Science in Software Engineering offers a well-rounded skill set that combines technical proficiency, adaptability, and effective communication. This expertise is applied to solving complex problems and delivering impactful solutions within dynamic and collaborative environments. Proficiency in various data tools has been developed alongside a talent for communicating intricate concepts clearly, adapting to new technologies, and managing projects from inception to completion. Each project is approached with a growth mindset and a dedication to learning and innovation, ensuring alignment with organizational strategic objectives.
Expertise encompasses Python, Spark, and SQL within data engineering; Azure, GCP, and AWS for cloud architecture; and Databricks and Snowflake for cloud lakehouses. Skills include ETL tools such as PDI, Hop, and Airflow, as well as managing BI tools like Looker, Qlik, and PowerBI. Knowledge extends to data governance and compliance, particularly with OpenMetadata, and includes strong capabilities in data ingestion and integration, modern data stack and ops architectures, and data quality and observability.
Additional project work can be viewed at: https://github.com/ViniSpeck/DataPlatform
Languages spoken fluently include Portuguese, English, German, and Spanish.
