As a technical lead and manager specializing in Data Engineering, Cloud Infrastructure, Platform Engineering, and FinOps principles, I have extensive experience with cloud-based and hybrid data platforms. My responsibilities include designing, developing, and maintaining scalable, secure, and cost-effective data systems. Currently, I lead a talented team of Data and Cloud Engineers, focusing on SaaS solutions and driving projects aligned with our company's strategic goals.
As a manager and technical leader, I oversee a team of Data and Cloud Engineers, managing the architecture and development of our cloud data platform, ensuring its scalability, security, and cost efficiency. Implementing best practices in Data Engineering, Cloud Infrastructure, DevOps, and FinOps, and aligning technical projects with business objectives are key aspects of my role. The goal is to develop and maintain SaaS solutions as well as internal projects.
Responsible for building and optimizing a cloud data platform, focusing on developing data pipelines, storage solutions, and integration with cloud services. The role involved ensuring data integrity and accessibility, as well as implementing best practices in cloud data management.
As a consultant specializing in Data Engineering, Big Data, data streaming, and ETL solutions, I designed and implemented data integration solutions, and optimized data pipelines to feed Data Warehouse platforms and operational databases.
As a consultant in Business Intelligence and Big Data, specializing in data integration, data storage, business intelligence tools, and Big Data solutions, I designed and implemented ETL processes, developed data models, and optimized reporting solutions to provide actionable insights for decision-making. The role involved collaborating with stakeholders to understand their business needs and translate them into technical solutions.
IAESTE Intern - Android development of the "Future City" based on OpenStreetMap
Data Engineering, Big Data, Database Design, Data Warehousing, Business Intelligence(BI), Continuous Integration and Continuous Delivery (CI/CD), DevOps, FinOps, Distributed Systems, Virtualization, Security, Agile Methodologies
Microsoft Azure, Amazon Web Services, Apache Spark, SQL, Databricks, Datadog, Python, Bash, RDBMS, NoSQL, Hadoop, Git, Docker, Kubernetes, Terraform
September 2013 — September 2015
Architecture of network systems
September 2012 — March 2013
Embedded systems & telecommunications
September 2008 — September 2014
Control Systems and Computer Science in Engineering