Lincoln
Macêdo
[ Data Engineer ]
Engineering Data. Enabling Decisions.
How I Work
Data Engineer and Analytics Engineer based in Brazil. I design and build production-grade data systems (from raw ingestion to transformation layers and serving APIs) across GCP, Snowflake, Databricks, and AWS.
I write Python and SQL professionally, model data with dbt, orchestrate with Airflow, and stream events with Kafka. I care about reliability, clean architecture, and documentation that outlasts the code.
Why My Work Stands Out
Production-grade data engineering, built to last.
Built for Real Scale
A behavioral data product processing 800M–1.86B events/month.
Cost-Conscious Engineering
Cut infrastructure costs 10%+, lifted processing efficiency ~33%.
Cross-Cloud Experience
Production work across GCP, AWS, and Databricks.
End-to-End Delivery
Raw ingestion to a 25+ table architecture, one owner throughout.
Data Migration at Scale
Led an AWS DMS migration, validating 20%+ cost savings.
Cross-Industry Delivery
Production systems for e-commerce, pharma, retail, and finance.
Portfolio Projects
I work across the full data stack: ingestion pipelines, transformation layers, and the dashboards that put them in front of decision-makers.
Get in touch
Always glad to talk data, whether it's a new project, a role, or just comparing notes on the stack. Open to remote and international opportunities, with EU work authorization already in place: no visa sponsorship needed.