Data Engineer with 4+ years of experience with design and optimizing data pipelines, programming languages and cloud technology, using artificial intelligence and machine learning to create effective data-driven solutions. I excel at architecting, deploying data solutions focused on advanced sustainability and performance that generate business value. My experience spans leading cloud platforms such as Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure, along with technologies such as Terraform, Hive/Hadoop, Apache Kafka, Snowflake, DBT, SQL, and Python/PySpark. With a strong track record of delivering high-impact projects, I was able to design and implement a cloud data architecture focused on modernizing on-premises bases for AWS, ensuring efficiency and performance in cloud environments. Developed a robust Terraform infrastructure, automating dataset management, IAM configurations, and data pipelines to increase reliability and maintainability in large-scale systems. Projects like this reduce technology and commercial costs, streamlining strategic decision-making and using reliable Data.