Mekatronik: Engineering intern, May 2020 to May 2021
Development and support for industrial automation projects, including machine programming and HMI/supervisory systems.
Invisto: Freelance data engineer, November 2022 to December 2022
Migrated data from local PostgreSQL to Cloud SQL (PostgreSQL 14) and automated pipelines with Composer/Airflow, including daily, weekly, and monthly loads over SFTP. End-to-end work from sources through Metabase for visualization. Google Cloud Platform was the primary cloud provider.
Motorola / CIn-UFPE: Software development resident (testing focus), April 2023 to April 2024
As a software development resident with a testing emphasis, I worked with Motorola’s Stability team while completing specialized training. I collaborated on test solutions, workflow improvements, and efficient tooling across a demanding corporate environment. I also delivered a project that removed about 20 hours per week of manual work, improved accuracy and consistency, and increased operational efficiency. More detail is available in the projects section.
Indicium AI: Data engineer apprentice, April 2023 to September 2023
Through Indicium’s Lighthouse program, I worked on real data projects with structured training in data engineering. I collaborated on pipelines, workflow optimization, and robust solutions for complex data challenges while strengthening teamwork and problem-solving skills.
Indicium AI: Data engineer, September 2023 to May 2025
As a data engineer at Indicium, I built and maintained data solutions to improve operational efficiency and deliver strategic insights. Key responsibilities included:
- Pipeline development: designing and maintaining reliable ETL pipelines for high-quality processing.
- Best practices: promoting automation, governance, and data quality standards.
- Cross-functional collaboration with data scientists, analysts, and developers to align solutions with business needs.
- Mentoring junior engineers and sharing knowledge to grow the team.
- Continuous improvement: staying current with trends and integrating new tools.
- Integration and ingestion: ensuring quality and consistency across sources.
- Process optimization: automating pipelines to improve efficiency and reduce runtime.
- Translating business requirements into technical data solutions.
Indicium AI: Team lead data engineer, May 2025 to November 2025
As a data engineer and team lead, I combined leadership with hands-on delivery, shaping technical direction while contributing directly to pipelines and platforms. I led engineers to deliver scalable, reliable, high-quality pipelines that support actionable insights. Key responsibilities included:
- Hands-on development: ongoing design, build, and optimization of pipelines and data platforms.
- Technical leadership: architecture standards, implementation reviews, and engineering best practices.
- Team management and mentoring: supporting growth and a culture of learning and accountability.
- Strategic alignment with stakeholders, data scientists, and analysts.
- Process optimization across automation, scalability, and performance.
- Data governance and quality: integrity, security, and compliance across workflows.
- Innovation: evaluating and adopting emerging technologies to keep the stack competitive.
UOL EdTech: Senior data engineer, November 2025 to present
As a senior data engineer, I maintain existing pipelines, optimize underperforming workloads, reduce cost through analysis and implementation, migrate workloads across AWS, GCP, and Azure, improve modeling with dbt, and help structure the data lake and warehouse, among other responsibilities.
