Rafael Buttignon Email & Phone Number

Brazil

Build and maintain a high-performance data platform that meets the company's needs, establishing connections with internal and external services, and leading analytical innovation, enabling the implementation of scalable and efficient data ingestion pipelines.Deliver end-to-end projects related to the data platform initiative, from conception and design to development and production monitoring. Develop, implement, and maintain libraries and abstractions that make the company's data journey easier and more agile.Provide level 2 and 3 support for libraries, tools, and services of the Data Platform. Perform Proofs of Concept (PoCs) and benchmarks to understand the best tool for a particular problem, as well as evaluate whether to use market-available solutions or develop internally. Additionally, perform corrections and evaluations on codes in the main internal repositories.Working intensively with tools such as: - Python- SQL- Spark/Pyspark- Azure (Databricks, Data Factory, ADLS Gen2)- AirFlow - Git and GitHub - Docker- Kubernetes - DataDogDeveloping software with good practices such as: - OOP (Object Oriented Programming)- SOLID- Design Patterns- Clear documentation- Unit and integrated tests- ETL (Extração, transformação e carregamento)

Build and maintain a high-performance data platform that meets the company's needs, establishing connections with internal and external services, and leading analytical innovation, enabling the implementation of scalable and efficient data ingestion pipelines.Deliver end-to-end projects related to the data platform initiative, from conception and design to development and production monitoring. Develop, implement, and maintain libraries and abstractions that make the company's data journey easier and more agile.Provide level 2 and 3 support for libraries, tools, and services of the Data Platform. Perform Proofs of Concept (PoCs) and benchmarks to understand the best tool for a particular problem, as well as evaluate whether to use market-available solutions or develop internally. Additionally, perform corrections and evaluations on codes in the main internal repositories.Working intensively with tools such as: - Python- SQL- Spark/Pyspark- Azure (Databricks, Data Factory, ADLS Gen2)- AirFlow - Git and GitHub - Docker- Kubernetes - DataDogDeveloping software with good practices such as: - OOP (Object Oriented Programming)- SOLID- Design Patterns- Clear documentation- Unit and integrated tests- ETL (Extração, transformação e carregamento)

Allocated at Ambev, serving as a data platform engineer, involved in the development and maintenance of the data platform.Tasked with the development, maintenance, and continuous improvement of the data platform, my role encompasses various areas of operation. This includes creating resources and abstractions in the library to simplify and streamline tasks for data engineers. Additionally, I work on standardizing data transformations in pipelines to ensure processing efficiency, improve data quality, and optimize reading and writing in the lake.My responsibilities also extend to researching and evaluating tools and use cases to enhance the usability and performance of the platform. Constantly seeking innovative solutions, I aim to identify opportunities to make data transformations more performant, streamlined, and aligned with industry best practices. By focusing on the continuous improvement of the platform, I strive to ensure it meets the evolving needs of users and the company as a whole.In the realm of data ingestion, I am responsible for designing, implementing, and maintaining the processes for collecting and importing data into the platform. This involves creating robust and reliable pipelines that ensure data integrity and quality from its source to its storage in the data lake. Additionally, I am constantly seeking ways to optimize these processes, whether through adopting more efficient tools, implementing monitoring and logging techniques, or making adjustments and enhancements to existing ingestion flows. The goal is to ensure the platform has an agile, scalable, and resilient ingestion system capable of efficiently and reliably handling large volumes of data.

Matão, São Paulo, Brasil

Working on national projects, with various technologies focused on Microsoft, also heavily involved in full stack development projects, with end-to-end delivery and maintenance of multiple projects, ranging from small projects to projects for large companies.

Matão E Região, Brasil