Ennio Maldonado

Migrated a legacy data platform to a modern compute and storage separated system, that increased performance by 90% and reduced operational costs by 70%.

Reduced data downtime by 50% leveraging modern monitoring tools for critical data product pipelines.

Designed and build data pipelines to promote machine learning models to production grade processes, enabling business users with consistent predictions.

Designed and build robust pipelines to onboard compeling new datasets into data platforms from a diverse enterprise systems, databases, flat files, APIs and streams.