Lucas Zanotelli dos Santos

Led the execution of Data Engineering projects, collaborating closely with a team of data analysts, resulting in an increase in data processing efficiency.

Conceptualized and built a robust pipeline of data for 5 critical internal and external applications, leveraging API services for data ingestion and monitoring ELT process through metrics and tools.

Managed the loading of data on several distributed relational and non-relational storages and aggregated +1PB of data using distributed tools, resulting in a 40% increase in data accessibility for analysis.

Drove innovation by proposing and questioning Data Engineering solutions as a critical thinker, ensuring delivery of the best possible solutions for the organization while disseminating DevOps and DataOps principles within the team, resulting in an increase in team productivity.

Provisioned and managed cloud-native infrastructure on GCP (Compute Engine, Cloud SQL/PostgreSQL), ensuring high availability and cost efficiency as the business scaled.

Developed a data-driven production pipeline that reduced waste by 30% and increased output by 20%, demonstrating ability to drive business impact through technical systems.

Introduced data-driven workflows and digital marketing systems, improving operational transparency and decision-making.

Automated manual data processing with Python and Shell scripts, reducing staff workload by over 50% and accelerating disaster database updates.

Helped build a nationwide digital database of environmental disasters by migrating data from hard-copy documents.