Pipeline Status
Data Flow
Matheus Lucas
Est. 2024 — Data Engineer
About
GCP specialist with experience in global-scale data projects — from Data Lakes to data mesh architectures with federated governance. Google Cloud certified in Data Engineering, Database Engineering, and Architecture.
Delivered high-impact projects for Ford, Madeira Madeira, Leomadeiras, and other major clients. Reduced processing time by 99% at Hands Digital and led the modernization of Madeira Madeira's data ecosystem from AWS to GCP.
Throughout my career I have taken part in national and global projects, helping reduce operating costs, speed up data processing and build platforms ready for sustainable growth.
My relationship with technology began long before cloud computing and data engineering.
Over the years I built robotics projects, embedded systems, automation and educational software, exploring different ways of turning ideas into real solutions. I have always been driven by curiosity about how things work and by the challenge of building something new.
That mindset is still present in everything I do. Whether designing a data architecture for a global company or building a personal prototype on weekends, what drives me is the same interest in engineering, continuous learning and building solutions with purpose.
Selected Work
Migration of the data ecosystem from AWS to GCP with data mesh and federated governance. Pipeline refactoring and definition of architecture standards.
Global-scale sales data lake with source integration and business-rule mapping with stakeholders across more than 10 countries.
Lakehouse implementation with Google Cortex Framework and CDC to modernize the analytics environment and integrate SAP.
ETL flow and Data Warehouse implementation on GCP with a Looker connection.
Optimization of strategic geolocation queries in BigQuery. Processing reduced by 98% and execution time by 99%.
Strategic Looker dashboard with integrated Machine Learning recommendations to support editorial decisions.
Technical Recognition
Designing, building and operating reliable, scalable data pipelines and platforms on Google Cloud.
Designing, deploying and managing secure, scalable, highly available databases on GCP.
Designing and managing robust, secure and scalable solutions on Google Cloud infrastructure.
Strategic understanding of generative AI capabilities, use cases and business applications on Google Cloud.
STACK & SKILLS
Accountability for the full delivery cycle.
Decisions driven by analysis, context and impact.
Constant growth through study and practice.
Anticipating problems, spotting opportunities and acting with autonomy.
Building high-impact solutions together.
Let's Create Together