Tomás Lucena

Data Architect

Artesanal Investimentos•  May 2024 - September 2024

Leadership in modernizing the data architecture of Artesanal’s credit funds. Developed high-volume data processing pipelines using Glue Jobs + Spark. Designed optimized data cubes in Redshift, accelerating queries and analysis in BI tools. Implemented efficient data ingestion routines in Redshift utilizing AWS Lambda + Glue Jobs. Structured data lakes on S3, reducing storage costs and improving data access efficiency. Conducted migrations of legacy databases to Amazon Redshift. Managed cloud resources and built CI/CD pipelines, automating deployments with Azure DevOps. Recognized for commitment to deliverables and critical thinking in project analyses.

Data Engineer

Artesanal Investimentos•  March 2022 - May 2024

Leadership in modernizing investment strategies for Artesanal’s multimarket fund. Developed investment strategies using Python. Created real-time dashboards with low latency leveraging Kafka + Redis + Python. Built ETL pipelines using Lambda + PostgreSQL. Recognized for creativity and proactivity in automating routine tasks.

Data Scientist

AFAL•  February 2020 - March 2022

Developed systems for validation and monitoring of investment strategies in financial markets. Created interactive dashboards using Grafana and Dash. Built robust pipelines for real-time and historical data processing. Utilized time-series databases (InfluxDB) for efficient and scalable data management. Praised for proactivity and contributions to the team through deliverables and knowledge sharing.