About me

I am a Data Engineer with 3+ years experience optimizing data pipelines and platforms using cloud (GCP/AWS), data warehousing, and ML engineering. Expertise includes ETL/ELT development, data modeling, cloud platform architecture, and MLOps, all focused on delivering scalable, high-performance data solutions for business impact.

I work at Growketing, at the Data & AI group, leading the design and implementation of data platforms for AI/ML models, data warehousing, and real-time analytics.

To contact me, please feel free to reach out to me on GitHub or LinkedIn. I am open to new opportunities and collaborations.

Projects

Real-time Financial Data Analytics Platform

Python, Pub/Sub, Airflow, GCS, Docker, Looker, BigQuery
  • Developed a real-time financial data platform ingesting market data via Pub/Sub for streaming.
  • Processed data via Airflow, stored in GCS/BigQuery, and visualized in Looker for real-time analytics.
  • Deployed pipeline on Kubernetes (Terraform managed) for robust scalability and reliability.

RAG Document QA System

Python, Polars, Airflow, LangChain, LanceDB, Streamlit
  • Developed an intelligent Q&A system for diverse user technical documentation formats.
  • Implemented Airflow/Polars batch pipeline for efficient document ingestion and indexing.
  • Leveraged LangChain/LanceDB for RAG-based question answering via Streamlit application.

Experience

  • Growketing

    Barcelona, Catalonia, Spain - Remote

    Data Engineer

    May 2023 - Present

  • Dambolena

    Buenos Aires, Argentina - Hybrid

    Data Developer

    Jan 2022 - Apr 2023

Education

  • Bachelor of Science - Computer Science

    University of Buenos Aires, Argentina.

    4 years degree in Computer Science.

    Expected 2025

  • Bachelor of Science - Data Science

    University of Buenos Aires, Argentina.

    3 years degree in Data Science.

    2021 - 2023