Guilherme B.

• o Provide data engineering, leadership and architecture consulting for startups in AI, e-commerce, and Martech, designing scalable platforms and optimizing ETL/ELT pipelines.

• o Advise on data strategy, governance, and scaling, ensuring compliance and efficiency.

• o Selected projects:

◦ o Rebuilt ingestion pipelines processing 10M+ data points/day, cutting costs by 40%, increasing processing speed by 70%, and improving data quality by 30%.

◦ o Implemented an improving reporting accuracy by 25% and enabling a 360° business view sales to spend.

• o Promoted a self-serve culture with Steep, Hex, and Google Sheets, achieving 80% adoption and reducing ad-hoc reporting requests by 60%.

• o Implemented a Metrics Layer, standardizing business language, enhancing self-serve analytics and reducing decision turnaround time.

• o Established solid Data Engineering and Warehousing best practices including CI/CD pipelines, data governance, and automated testing, improving reliability and efficiency. Reduced pipeline incidents by 30% and onboarding time by 50%, while decreasing attrition and time-to-delivery, enabling scaling with fewer hires..

• o Collaborated on Data Science initiatives, including demand forecasting, user segmentation, pricing optimization, driving business growth by 15%.

• o Led hiring and mentorship for Data Science, Analytics, and Engineering, fostering a strong data-driven culture.

• o Rebuilt the MVP data platform into a production-grade system across ingestion, transformation, orchestration, presentation, and governance, improving core metric accuracy by 40%.

• o Built a scalable, robust, and flexible Data Platform creating a unified business view and automating workflows.

• o Developed web scrapers for competitor, advertising and SEO data, enhancing growth and marketing analytics.

• o Improved trust in analytics across the organization, accelerating adoption of self-serve reporting.