Open to opportunities

Vinicius Ribas

@viniciusribas

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Senior Data & Software Engineer with expertise in cloud-native solutions.

Brazil

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What I'm looking for

I am looking for a role that fosters innovation and collaboration, where I can leverage my data engineering skills to drive impactful solutions while continuing to grow professionally.

I am a Senior Data & Software Engineer with over 5 years of experience in delivering scalable, cloud-native data solutions for Fortune 500 companies and government agencies. My expertise lies in AI-driven data pipelines, DevOps automation, and fostering cross-functional collaboration. I have successfully developed over 50 ETL pipelines across more than 10 global projects, optimizing data workflows and enhancing accessibility for Finance, Logistics, and IT teams.

Throughout my career, I have built AI-powered data pipelines that integrate various technologies, including Google Maps, OpenAI, and Brazilian Government APIs, to create innovative solutions such as lead classification and invoice OCR. My commitment to efficiency has led to significant improvements, such as reducing PySpark Kubernetes processing time from 20 hours to just 30 minutes and cutting cloud costs by 90% through a custom monitoring tool. I am proud to have received multiple awards, including the Santander Open Academy Scholarship and the Raízen Energia S.A. Exceptional Performance Award.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer, Analytics Engineering

Current

Raizen Energia S.A.

Aug 2023 - Present (1 year 10 months)

Integrated 100% of business area’s data into a scalable cloud platform, significantly enhancing data accessibility and reducing retrieval time by 95%. Led a data integrity initiative, correcting 40,000+ customer records from Salesforce & SAP APIs, enabling automated billing & marketing strategies.

Data Integration Cloud Platforms Data Access Data Integrity Salesforce SAP Predictive Analytics Data Governance

Data Engineer, ETL Pipelines Development

Raizen Energia S.A.

Jun 2022 - Aug 2023 (1 year 2 months)

Architected & optimized 50+ ETL solutions, integrating SharePoint, APIs, SQL/NoSQL databases, and Data Lakes. Automated ETL processes, reducing manual interventions by 70% and improving pipeline reliability.

ETL SQL NoSQL Data Lake Automation Data Integration SharePoint API Integration

Business Intelligence Analyst

Energisa S.A.

Mar 2021 - Jun 2022 (1 year 3 months)

Automated data extraction, cutting manual reporting by 75% and optimizing BI workflows. Developed interactive dashboards, providing real-time executive insights for market trends.

Data Extraction Business Intelligence Dashboard Development Automation Market Trends Reporting Data Visualization

Data Scientist Intern

Brazilian Electricity Regulatory Agency (ANEEL)

Jan 2019 - Mar 2021 (2 years 2 months)

Developed a nationwide energy customer database, improving regulatory oversight & decision-making. Ensured compliance with data security & governance standards.

Data Science Database Development Regulatory Data Security Data Governance Compliance

Education

Degrees, certifications, and relevant coursework

Universidade de São Paulo

MBA, Software Engineering

2024 - 2026

Pursuing an MBA in Software Engineering with a full scholarship for additional specializations at Coursera. Coursework includes Full Stack Development, Software Management, Cloud Computing, and Data & Business.

Universidade de São Paulo

MBA, Data Science and Analytics

2021 - 2023

Grade: Highest Distinction

Graduated with Highest Distinction in MBA specializing in Data Science and Analytics. Achieved top grades in Research, Final Exams, and Thesis Defense. Coursework included Statistics, Machine Learning, Big Data, and Business Analytics.

Universidade de Brasília

BSc, Energy Engineering

2014 - 2021

Completed a Bachelor of Science in Energy Engineering. The final thesis was awarded top marks and applied in Brazil’s COVID-19 data science efforts. Coursework included Renewable Energy, Technology, Innovation, Sustainability, and Data Analytics.