Hi! As a Systems Development Engineer at with a focus on Data Engineering and Data Science, I am dedicated to creating innovative solutions that drive business results. With a strong background in 📊 Applied Statistics and 🪐 Physics, I am experienced in managing large data sets, designing data pipelines, and implementing DevOps best practices as well as Infrastructure as Code (CDK, Terraform). My expertise in Big Data technologies, including AWS EMR, Redshift, Glue and S3, allows me to create efficient, scalable, and reliable data architectures.

In my role at Amazon, I have led several high-impact data projects, including designing and building a data lake that enabled our team to quickly and efficiently analyze and visualize complex data sets to find meaningful correlations. I have also implemented machine learning models that improved forecasting accuracy and reduced processing times. My proficiency in programming languages and technologies such as Python, R, SQL, Spark, and Airflow allows me to effectively manipulate data and automate complex workflows.

As a data enthusiast, I am committed to staying current with the latest trends and technologies in the industry. I am always looking for new opportunities to expand my knowledge and skill set, as well as eager to collaborate with other professionals to learn and grow.