Jorge Andres Ibañez Huertas
Data Scientist
Professional profile
Data & AI Engineer with 3+ years of experience designing and operating scalable , production-grade data pipelines and ML-ready datasets using PySpark , Databricks , and Python . Focused on automation , data governance , and reliability bridging data engineering and applied machine learning
Work experience
Developed scalable data pipelines, implemented automated data quality, governance, and reliability controls (schemas, consistency rules, SLAs) to improve downstream analytics and ML workflows.
Major achievementBuilt scalable PySpark pipelines and reusable Python components to standardize ingestion, transformation, and validation of analytics and ML-ready datasets. Automated data quality, governance, and reliability controls.
Maintained production ETL pipelines in Databricks with PySpark and SQL, enhancing data consistency for analytics and data-driven use cases.
Major achievementBuilt and maintained production ETL pipelines in Databricks using PySpark and SQL, improving data consistency.
Prepared curated, feature-ready datasets for analytics and ML. Supported model training and evaluation (scikit-learn) with stable preprocessing, validation, and automation in Python.
Major achievementBuilt reproducible data pipelines for analytics and machine learning. Supported model training and evaluation workflows.
Education experience
Universidad central | Profesional
