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David Gil Bautista

@davidgilbautista

Data & AI Engineer building scalable AI/ML data architectures with PySpark, AWS, and Airflow to accelerate predictive analytics.

Spain

Message

What I'm looking for

I’m looking for a role where I can build scalable data platforms for AI/ML, optimize ETL/ELT performance, and operationalize models using AWS, Airflow, and MLOps practices—so teams can ship predictive analytics faster and more reliably.

I’m a Results-driven Data and AI Engineer focused on designing and scaling high-performance data architectures that support AI/ML solutions. I’ve built robust pipelines and AI capabilities, including Named Entity Recognition (NER), a statistical prioritization recommendation system, and LLMs API integrations using prompt templates.

At Constella Intelligence, I optimized ETL/ELT pipelines with PySpark on AWS EMR—improving throughput by 200% and reducing infrastructure costs by 50%—while ensuring fast delivery for ML. I also redesigned scalable cloud microservices architectures, automated workflows with Apache Airflow and AWS, and modernized deployments with Docker and Kubernetes to enable horizontal scaling.

Experience

Work history, roles, and key accomplishments

Data & AI Engineer

Constella Intelligence

Nov 2021 - Sep 2025 (3 years 10 months)

Developed Named Entity Recognition and a statistical/ML prioritization recommendation system to support text analytics. Optimized PySpark ETL/ELT pipelines on AWS EMR, increasing throughput by 200% while reducing infrastructure costs by 50%, and automated workflows with Apache Airflow.

Pyspark Apache Airflow Named Entity Recognition Docker Kubernetes Python SQL