Ernandes Junior

Data Engineer at Act Digital

Based in Fortaleza, Brazil

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Seniority

Staff

Department

Information Technology

Location

Fortaleza

Industry

IT Services and IT Consulting

Company size

5.2K

Contact information

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Email

1 credit

e•••••••@actdigital.com

Phone

5 credits

+55 ••• •••• ••••

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Background

About Ernandes Junior

I'm a Data Engineer specializing in the architecture, performance, and reliability of distributed cloud systems. At Act Digital, I’m part of a team dedicated to the development and evolution of TV Globo’s advertising sales algorithm, for one of the largest mediatech companies in Latin America. In this project, I redesigned the architecture of the Globo Impacto platform, making it scalable, parallelizable, and observable—which reduced order processing time by 80%, improved maintainability, and significantly increased the reliability of production operations. I continue to evolve Globo Impacto, continuously enhancing its architecture and data processes to drive performance, operational efficiency, and financial results. The platform generates billions of reais in advertising revenue and is strategic to Globo’s commercial operations. Prior to Act Digital, I worked at Pier Digital, Brazil’s first fully digital insurance company, where I built the corporate data lake, defining data zones, analytical pipelines, and integrations with payment and vehicle data providers. This work increased lead generation by over 20% and boosted data ingestion cadence and throughput, enabling greater analytical scalability. My work is guided by solid engineering principles and measurable outcomes—with a focus on scalable, observable, and secure systems, applying best practices in software engineering, automation, and data modeling. I believe that well-designed systems are strategic assets, capable of turning technical complexity into tangible business impact. Key Highlights: Google Cloud Platform (BigQuery, Cloud Run, Pub/Sub, Functions, DataPlex, Workflows, Composer/Airflow) Amazon AWS (Lambda, Glue, Athena, CloudWatch) Distributed systems architecture and data pipelines Performance optimization and observability at scale Building and governing corporate data lakes System evolution and critical process automation Focus on measurable results and continuous improvement

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