Designing scalable data platforms, building intelligent systems, and transforming data into decision-driven solutions.
I am a Data Engineer specialized in Big Data ecosystems, cloud-native architectures, and Artificial Intelligence integration.
My professional focus is the development of modern data platforms based on Lakehouse architecture, distributed processing, and reliable data pipelines capable of supporting enterprise-scale analytics and intelligent applications.
Areas of expertise:
- Data Engineering and Big Data Processing
- Cloud Architecture and DevOps Practices
- Machine Learning Integration
- Data Quality, Governance, and Reliability
- Technical Education and Knowledge Sharing
Core competencies include:
- ETL and ELT Pipelines
- Distributed Data Processing
- Data Modeling
- SQL and NoSQL Databases
- Analytics and Business Intelligence
Experience with:
- Microsoft Azure
- AWS and Google Cloud Platform
- Containerization and Automation
- CI/CD Pipelines
- Infrastructure and Platform Engineering
Technologies used for service development, APIs, and system integration.
Frontend technologies used primarily for integration support and full-stack collaboration.
- Microsoft Azure Data Fundamentals (DP-900)
- Microsoft Azure AI Fundamentals (AI-900)
- Microsoft Azure Fundamentals (AZ-900)
- Databricks Lakehouse Fundamentals
Caminho para Certificação DP-900
https://www.linkedin.com/pulse/caminho-para-certifica%C3%A7%C3%A3o-dp-900-jefferson-savidotti-d5s1f/
Data should operate as a strategic asset capable of enabling scalable intelligence, reliable decision-making, and measurable business impact.
The objective is to design platforms where data flows efficiently, scales consistently, and supports real-world transformation.