Personal Info

Rodolfo Viana
years old
Marília, São Paulo, Brazil
LinkedIn / Github / Email

Summary

Data Engineer with + years of experience, an MBA in Data Science from the University of São Paulo and an M.Sc. in Computer Science in progress at Unesp. I currently serve as a Senior Data Engineer at Stadium Goods —the global leader in the sneaker market—driving projects in data architecture, pipeline development, and data-quality governance. Combining a solid academic foundation with extensive industry experience, I excel at designing and optimizing cloud-based data infrastructures and have a proven track record of automating workflows to boost availability, integrity, and scalability.

Professional Experience

⟶ Senior Data Engineer @ Stadium Goods
[August 2021 — present]

Responsibilities:

• Design and implement scalable data pipelines and automations that safeguard data availability, integrity, and efficiency, ensuring the operation of 200+ data processes
• Conduct deep-dive analyses to verify data consistency and reliability
• Ad hoc studies, reports and analytical tests

Key contributions:

• Leadership in Stadium Goods data infrastructure optimization project, with actions that reduced processing time by 63%, increased performance (IOPS) by 88% and generated 67% savings in monthly costs
• Mentoring and training of more than 10 professionals at Stadium Goods, improving their technical skills

⟶ Adjunct Instructor @ IDP
[July 2021 — present]

Responsibilities:

• Teach "Introduction to Programming with Python" and "Web Scraping" in graduate courses, training 100+ professionals to date

⟶ Senior Data Scientist @ Rede Globo
[December 2018 — August 2021]

Responsibilities:

• Developed and deployed predictive models—including classification algorithms and neural networks—for business intelligence and content personalization
• Performed exploratory data analysis and statistical modeling to generate story ideas and inform editorial planning
• Led the design and implementation of ETL pipelines and large-scale web-scraping processes to ingest external data for analysis

Key contribution:

• Conceived and implemented a system that provided real-time SARS-CoV-2 statistics to 500+ journalists, expanding news coverage and boosting viewer engagement by 41%

Education

⟶ M.Sc. Computer Science @ Ibilce-Unesp
2025 — in progress

⟶ MBA Data Science and Analytics @ Esalq-USP
2022 — 2023

• Work developed: Anomaly detection in São Paulo state deputies' expenses using K-Means

Technical Skills

• Cloud Platforms

  Google Cloud Platform (GCP), AWS, Microsoft Azure

• Data Engineering and Orchestration

  Docker, dbt, Databricks, Apache Airflow, Apache Spark, Google Cloud Functions, AWS Lambda, Apache NiFi, Pentaho, Git, Terraform

• Machine Learning and AI

  Pytorch, TensorFlow, Statsmodels, PyCaret, scikit-learn

• SQL and Databases

  Google BigQuery, Amazon Redshift, Azure Synapse, Snowflake, Microsoft SQL Server, MySQL, PostgreSQL

• Visualization

  Looker, Google Data Studio, PowerBI, Tableau

• Programming

  Python, SQL, shell scripting

Languages

Portuguese (native), English (fluent)