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.

Developed a data-driven strategy to optimize the production process, reducing waste by 30% and increasing production by 20%.

Designed and implemented a data pipeline to monitor production metrics, enabling real-time decision-making and reducing production downtime by 15%.

Led the implementation of a data-driven strategy to optimize the production process, reducing waste by 30% and increasing production by 20%.

Designed and implemented a data pipeline to monitor production metrics, enabling real-time decision-making and reducing production downtime by 15%.

Survey and organize data from hard-copy documents.

Help build a nationwide digital database of environmental disasters.

Custom solution development (Python and Shell scripts) cut staff workload by over 50%.