Summary
Daniel Revilla is a data engineering leader and founder with 11 years in IT and over five years architecting modern data platforms across banking, telecom, fintech and startup environments. He designs scalable Lakehouse and Medallion architectures and builds streaming-first solutions using Kafka, Flink and Spark, plus production platforms on Databricks, Snowflake and BigQuery. At companies like Rappi, Globant and Yape he’s led migrations, CDC initiatives, dbt transformations and cloud infra automation with Terraform, consistently moving teams from legacy pipelines to real-time analytics. He also creates community impact as founder of Data Wizard and co-founder of Data Engineering LATAM, democratizing applied data-engineering skills across the region. Based in Arequipa, Colombia, he pairs hands-on engineering with instructor experience, often surfacing operational improvements that reduce latency and simplify discovery in complex data ecosystems.
11 years of coding experience
5 years of employment as a software developer
Bachillerato, Ingeniería de sistemas, Bachillerato, Ingeniería de sistemas at Universidad Católica de Santa María
Máster en Big Data y Data Science, Ingeniería informática, Máster en Big Data y Data Science, Ingeniería informática at VIU - Universidad Internacional de Valencia
English