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  • Creel, Chihuahua, Mexico

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Raydesel/README.md

Hi, I'm Raydesel

Data Engineer with an M.Sc. in Computer Engineering. I build serverless ELT/lakehouses and batch pipelines on AWS (Glue, Athena, S3, Redshift, Iceberg), orchestrate with Apache Airflow, model with dbt, and provision with Terraform. I also ship Python/Django services on PostgreSQL.

Stack: Python · SQL · PySpark · Airflow · dbt · Terraform · Docker · AWS · PostgreSQL

Featured work

  • Lakehouse / ELT — olist-data-lakehouse: automated serverless pipeline (AWS Glue, Athena, dbt, Airflow).
  • Telemetry-style research pipeline — Drone-Q-Learning: MSc thesis — Q-learning paths from maps, batch experiment outputs, ROS/Gazebo waypoint handoff (see README Data engineering angle).
  • Audio feature pipeline — EmotionRecognitionSpeech: cleaning, normalization, MFCC & spectral features for ML.

Contact: raydeselariels@gmail.com · Creel, Chihuahua, Mexico

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  1. olist-data-lakehouse olist-data-lakehouse Public

    End-to-end serverless ELT data lakehouse: AWS Glue, Athena, S3, dbt, Airflow; Kimball-style modeling & Terraform/infra.

    Jupyter Notebook

  2. databricks-bakery-pipeline databricks-bakery-pipeline Public

    End-to-end Data Engineering pipeline using Databricks, PySpark, and Delta Lake following the Medallion Architecture.

    Python

  3. ai-anomaly-agent ai-anomaly-agent Public

    An automated data pipeline that extracts metrics from Supabase, uses Claude AI to detect statistical anomalies, and presents daily reports in a Streamlit dashboard.

    Python

  4. EmotionRecognitionSpeech EmotionRecognitionSpeech Public

    Python data pipeline: audio cleaning, normalization, MFCC & multi-band spectral entropy features for ML classification (thesis research).

    Jupyter Notebook 1

  5. Drone-Q-Learning Drone-Q-Learning Public

    MSc thesis: Q-learning on occupancy maps → smoothed trajectories & waypoint export for ROS/Gazebo. Batch experiment outputs (CSV, Q-tables, metrics). README: data-engineering angle.

    Python