With an established career in the aeronautical industry, my experience encompasses engineering planning, systems and budget management. I have strong experience with software development, RPA, exploratory data analysis and data engineering.
My mastery of dataflow development is evidenced by my proficiency in Python, Pandas, Airflow, Databricks and Spark. In a healthcare startup, I had the opportunity to structure the data area, creating ETLs, consuming data from third-party APIs and developing Management Indicator Dashboards for the sales, marketing and customer success areas.
My experience also extends to working in consultancies, serving agribusiness and banking clients, such as Banco Bradesco. I am well versed in automated CI/CD flows using GitHub, Docker and Kubernetes. In the AWS cloud, I managed EC2 virtual machines, RDS database and datalake with S3. At Azure, I used Kubernetes and storage gen2 environments.
I have knowledge in Machine Learning and predictive models. I am an assertive professional, with ease of communication at all levels, and I have a keen technical, strategic and administrative vision. My negotiation skills, planning and focus on results make me a responsible professional and always willing to take on new challenges.
With a special focus on engineering advanced data architectures, my expertise lies in creating scalable data pipelines and deploying cloud technologies. At Ubiratã, I channel my commitment to innovation through my proficiency in Python and tools like Databricks, Airflow and Kubernetes.
The projects I lead are characterized by meticulous development and strategic implementation, ensuring robust data solutions. My recent experience at Raízen reinforced a strong competence in using Docker and Digital Twin technology to drive data efficiency and operational excellence. I look forward to bringing these skills and experiences to new challenges and opportunities.