Luís Fernando Alexandre Dos Santos

Luís Fernando Alexandre Dos Santos

$15/hr
Data Engineer | Python, SQL, AWS | Data Pipelines & Backend APIs
Reply rate:
-
Availability:
Hourly ($/hour)
Age:
29 years old
Location:
Uiraúna, Pb, Brazil
Experience:
3 years
Luis Fernando Alexandre dos Santos Data Engineer | Machine Learning | Python | SQL | AWS Brazil • Remote • Open to freelance opportunities Portfolio • LinkedIn • GitHub Professional Summary Data Engineer with a background in Computer Engineering and a Master’s candidate in Electrical Engineering (AI focus). I design and build data-driven solutions that transform raw data into actionable insights. My work includes developing data pipelines, backend systems, and scalable architectures to support business decision-making. Hands-on experience with Python, SQL, and AWS, covering the full data lifecycle from ingestion and processing to delivery and analysis. Technical Skills • • • • Python, SQL, Java Data Pipelines (ETL/ELT) Data Modeling AWS (EC2, S3, RDS) • • • • REST APIs (Spring Boot) Pandas, NumPy, Scikit-learn PostgreSQL, MySQL Git, Docker, Linux Experience Data Engineering / Backend Projects (Freelance & Personal) • • • • • 2022 – Present Built data pipelines to process and analyze business data (sales, inventory, finance). Developed optimized SQL queries for reporting and decision support. Designed and implemented REST APIs for system integration. Deployed cloud-based solutions on AWS with scalability in mind. Structured data systems to improve business processes and analytics. Engineering Researcher (UFERSA) 2022 – Present • Developed AI-based and optimization solutions for real-world problems. • Applied mathematical modeling and computational techniques. • Published research in logistics optimization. Mathematics Instructor 2018 – Present • Strengthened analytical thinking and problem-solving skills. • Delivered complex concepts in a clear and structured way. Selected Projects Project Portfolio View Portfolio • End-to-end projects involving data engineering, backend, and cloud infrastructure. • Solutions focused on real-world business problems. Data Pipeline System • Automated workflow for data ingestion, transformation, and analysis. Logistics Optimization Model • Optimization model to improve routing and reduce operational costs. System Simulation • Mathematical modeling applied to computational simulations. 1 Education M.Sc. in Electrical Engineering (AI) - UFERSA (in progress) B.Sc. in Computer Engineering - UFERSA Teaching Degree in Mathematics - FAVENI Science and Technology - UFERSA Cloud Training Program - (in progress) Certifications Data Engineering Training (in progress) AWS Cloud Practitioner (in progress) Java with Spring Boot Python (project-based) Linux Fundamentals 2
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