End-to-end data engineering focused on automation and business impact.
Professional with extensive experience in data analysis, software engineering and industrial automation. Specialized in Python, Power BI, SQL, Django, NGINX and DevOps practices, focused on process optimization, operational efficiency and strategic solution delivery. Reduced industrial operational costs by up to 70% by designing automated control systems.
Acts as a technology and data partner, focused on scalability, operational predictability and measurable value generation. Uses short iterative cycles, commitment to quality and defined deadlines to transform business challenges into high-impact technical solutions.
Development of Business Intelligence solutions, including data modeling, data processing in Power Query, and creation of advanced dashboards for trend analysis and executive support. Implementation of analytical pipelines for Machine Learning (ML) and Deep Learning (DL) in reproducible environments.
Building RESTful APIs using Python (Django REST Framework), focused on Test-Driven Development (TDD) and unit/integration testing. Experience in modular back-end architecture, including Spring Boot/Java for management systems.
Implementation of automation practices with Docker/Podman and web server configuration (NGINX) as Reverse Proxy and API Gateway. Delivery of CI/CD pipelines and observability setup for reducing technical risks and accelerating delivery.
