Lincoln Macedo
Building production-grade data pipelines
and modern analytics infrastructure.
5+ years designing ingestion pipelines, dbt transformation layers, and serving APIs across BigQuery, Snowflake, Databricks, and AWS. I care about clean architecture, reliability, and meaningful data.
Lincoln Macedo
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.
Currently building an open-source data engineering portfolio across multiple platforms, documenting modern data stack patterns end-to-end.
Technologies
Tools and platforms I work with professionally and in open-source projects.
Portfolio Projects
A multi-platform data engineering portfolio — ingestion, transformation, serving, and streaming patterns across GCP, Snowflake, Databricks, and AWS.
Each repository follows a strict naming convention: {layer}-{platform}-{domain}. Ingestion, transform, and serving deploy independently — different CI/CD, different cadence, different ownership.
Get in touch
Open to remote data engineering roles and international opportunities — especially in Europe. Feel free to reach out.
