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Professional Experience

Senior Data Engineer with 6+ years of experience designing scalable data platforms on Google Cloud. Specialized in transitioning enterprises from legacy ETL to modern DataOps & MLOps architectures.

Work History

TCS Chile

Senior Consultant Jul 2025 – Present   |   Santiago, Chile

Focused on MLOps automation and enhancing data science workflows within Vertex AI.

  • MLOps & Automation: Automating Vertex AI notebooks and maintaining reusable CI/CD workflows to streamline model training pipelines.
  • Graph Data Engineering: Managing data modeling in Neo4j for complex relationship analysis, integrating graph results back into BigQuery.
  • Model Governance: Implementing dataset versioning and drift monitoring practices to ensure regulatory compliance.

AXITY

Senior Consultant Jul 2024 – Jul 2025   |   Santiago, Chile

Led the infrastructure setup and pipeline modernization for cloud data initiatives.

  • Infrastructure as Code: Architected and configured GCP projects (IAM, Security, Networking) using Terraform, ensuring governance from day one.
  • Pipeline Architecture: Designed ELT processes using Cloud Functions and Dataflow, optimizing for event-driven ingestion.
  • Optimization: Refactored legacy SQL workloads in BigQuery, implementing partitioning and clustering strategies that reduced query costs.

ACID LABS

Senior Data Engineer Feb 2023 – Feb 2024   |   Santiago, Chile

Responsible for robust data ingestion at scale and democratizing data models.

  • Data Modeling (dbt): Led the transformation layer using dbt with BigQuery, establishing testing standards and documentation for new datasets.
  • Container Orchestration: Managed Kubernetes deployments for data collectors, ensuring high availability for data pipelines.
  • Automation: Developed automated Python tests for pipeline reliability and created parquet-based backup systems using Docker.

SODIMAC

Senior Data Engineer (Digital Algorithms Team) Jan 2022 – Jan 2023   |   Santiago, Chile

  • Orchestration: Implemented scalable pipelines using Cloud Composer (Airflow) to centralize data ingestion from diverse sources.
  • ML Deployment: Supported the deployment of Cross-sell and Up-sell recommendation models to production.

NTT DATA

Data Engineer Dec 2019 – Dec 2021   |   Santiago, Chile

  • Cloud Migration: Executed the migration of on-premise data systems (Hadoop/Spark) to Google Cloud Platform.
  • Visualization: Built Looker dashboards to expose key business metrics to stakeholders.