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Indir
Data Engineer Intern
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Competencies
Demonstrated experience with Microsoft Azure.
Demonstrated experience with Google Cloud Platform.
Demonstrated experience with Python.
Demonstrated experience with SQL.
Demonstrated experience with PySpark.
Education
Languages
Summary
Data Engineer Intern open to new opportunities
Experience
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.