Vinicius Ferretti

I work on the Data Platform Engineering squad, evolving the Localiza Data Platform to accelerate and standardize how data teams work.

Key contributions and responsibilities:
• Semantic Layer for AI (LLM) consumption: defining contracts (semantic models, entities, dimensions, measures/metrics), semantic processing pipelines (normalize/enrich)
• Indexing and publishing semantic metadata (including

I worked on the Pre-owned Car Sales domain squad within a Data Mesh architecture.

Key responsibilities:
• Design, build, and maintain robust and scalable data pipelines, ensuring reliability and availability for business and data science teams
• Act as a technical reference for the team, supporting best practices and knowledge sharing
• Collaborate with the platform team on continuous improvement

Key Responsibilities:
- Maintain and enhance the company's Big Data platform, ensuring system reliability and scalability.
-Design and implement efficient data pipelines to enable ingestion, processing, analysis, and distribution of large data volumes for internal clients and external partners.
- Collaborate with cross-functional teams to understand the organization's data needs and deliver releva

Postgraduate Program

Key Responsibilities:
- Delivered lectures on Data Engineering, combining theoretical concepts with hands-on practical applications.
- Developed course materials and hands-on exercises focused on Open Source technologies widely used in the industry.
- Covered key topics such as data ingestion, processing, orchestration, and visualization, emphasizing best practices for scalab

Key Responsibilities:
- Design, develop, and maintain highly scalable, reliable, and efficient data pipelines for data collection, processing, and distribution.
- Work closely with data scientists and analysts to understand their needs and ensure that data pipelines meet business requirements.
- Implement high-performance data engineering practices, optimizing resources and minimizing bottlenecks.

Key Responsibilities:
- Develop and maintain robust and scalable data pipelines.
- Ensure data quality and fast delivery for analysts and data scientists.
- Establish best practices to enhance the evolution of the Data Lake.
- Optimize cloud costs based on OKRs.
- Collaborate in cross-functional squads.
- Design and implement Proof of Concepts (PoCs).
- Promote a data-driven culture within the com

Key Responsibilities:
- Develop and maintain ingestion pipelines ensuring data integrity.
- Provide high-quality and governed data to business areas.
- Create new solutions for data integration with partner companies.
- Develop monitoring processes.
- Create reports and dashboards.
- Promote a data-driven culture.

Key Technologies: Spark, Python, Databricks, Nifi, PowerBI, AzureDW, Scala, Hive, H

Development of Business Intelligence activities, including data extraction, modeling, and dashboard creation.

Development of Business Intelligence activities, including data extraction and modeling.

Development of Business Intelligence activities, including data extraction and modeling. Working with Progress programming language and SQL Server database.

Responsible for all technology-related aspects of the company, including maintenance and general support.

Gained extensive experience in infrastructure and user support. Responsible for preventive and corrective maintenance of computers for various company clients.

Dec 2025

Dec 2023

Jun 2023

Dec 2023

Nov 2017

Tecnologia em Banco de Dados