Descripción del trabajo
Build and optimize scalable, production-grade data pipelines using AWS (Glue, S3, Athena, Redshift) Support the transition from legacy DWH to a lakehouse architecture (bronze/silver/gold) Ensure documentation, data quality and efficient ETL/ELT processes Translate complex findings into actionable business recommendations and stakeholder report Design, deploy, and maintain ML models (supervised, unsupervised, time‑series) Develop reproducible pipelines and monitor model performance for continuou…