Data Engineering • Analytics • Machine Learning
Data professional with an IT and engineering background, focused on designing, building, and operating scalable data platforms and analytical solutions. Experience across the full data lifecycle — ingestion, transformation, modeling, analytics, and machine learning — with strong attention to architectural trade-offs, data quality, and system reliability.
Hands-on work includes:
- Designing data pipelines and analytical models for descriptive, diagnostic, predictive, and prescriptive use cases
- Developing executive-level dashboards and analytical layers aligned with business KPIs
- Building and validating machine learning models for forecasting and decision support
- Applying data governance, security, observability, and version control as first-class concerns
Strong ability to collaborate with engineers, analysts, and business stakeholders, translating requirements into technically sound and maintainable data solutions.
- 🔗 LinkedIn: moreira-and
- ▶ YouTube: @DadosSobreAprendizado
- Data Engineering: pipelines, data modeling, orchestration, data quality
- Analytics Engineering: semantic layers, metrics, dashboards, BI
- Machine Learning: feature engineering, model training, evaluation, deployment fundamentals
- Architecture: scalability, reliability, cost-awareness, trade-offs
- Governance: security, access control, lineage, versioning, observability
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📈 Postgraduate Certificate: Data Science and Artificial Intelligence – XPE
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📚 Bachelor’s Degree: Control and Automation Engineering – UNICAMP
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📋 Certifications and Courses:
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Study & Motivation (PT-BR) Recommended talk on discipline, purpose, and intellectual rigor (subtitles available if needed):
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Data Visualization References Practical guidance and inspiration for choosing effective visual encodings:
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Mathematics & Visualization Interactive environment for exploring mathematical concepts and geometric intuition:
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Machine Learning Intuition Browser-based tool for experimenting with neural networks and understanding their behavior:
Thank you for visiting!

