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Data Engineer Intern
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Competencias
Demonstrated experience with Microsoft Azure.
Demonstrated experience with Google Cloud Platform.
Demonstrated experience with Python.
Demonstrated experience with SQL.
Demonstrated experience with PySpark.
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Data Engineer Intern open to new opportunities
Experiencia
Data Engineer Intern
Built a validated 60M-row analytical data warehouse in Google BigQuery from over 500M raw records, using a fault-tolerant Python ELT layer on GCP (BigQuery, Cloud Storage) ingesting 24GB+ of structured and unstructured data (CSV, JSONL, archived files).. Developed and optimized multi-phase SQL (joins, CTEs, window functions, query optimization) reconciling 9.6M+ records across heterogeneous sources, with automated data-quality validation and integrity checks catching defects before downstream consumption.. Deployed a FastAPI microservice with API-key authentication and audit logging to serve curated warehouse data to downstream consumers.
Freelance Data Engineer
Designed and delivered automated Python ETL/ELT pipelines and database solutions for international clients, with retry/backoff, structured logging, and validation; gathered technical requirements directly from clients and delivered to deadline with minimal supervision
Data Scientist Intern
Built an end-to-end serverless ML pipeline (Pearls AQI Predictor) forecasting Air Quality Index up to 72 hours ahead for any city. Used a dual-mode Hopsworks/SQLite feature store, leak-free training with TimeSeriesSplit CV across Ridge, Random Forest, and HistGradientBoosting, SHAP interpretability, and a Streamlit dashboard with automated hourly/nightly retraining via GitHub Actions.