Summary
Chip Bautista is a Data Engineer with a decade of experience designing and operating large-scale data pipelines and ML-backed systems across travel tech and consulting firms. Based in Berlin, she has moved data reliably between S3/Trino, Redshift, BigQuery, MySQL and Vertica, and built orchestration and ETL solutions with Airflow, Dagster and in-house libraries. Her background as a senior ML consultant and team lead includes productionizing record linkage at scale, lookalike models, document recommendation and DocumentAI POCs that closed major deals, demonstrating strength in both analytics and applied ML. She pairs hands-on engineering (Django apps, HTMX, Docker, GitHub Actions) with product-facing delivery, having improved dashboard performance and streamlined Looker user management. Notably, she optimized feature engineering and inference workflows to cut cost and latency on multi-million point datasets, showing a practical eye for performance and cost-efficiency. She holds an MS in Computer Science from the University of the Philippines and brings a research-minded curiosity from earlier academic work on programmer eye-tracking.
9 years of coding experience
5 years of employment as a software developer
Secondary Education, Secondary Education at De La Salle University
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of the Philippines