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Achievements

Achievement: StarstruckAchievement: QuickdrawAchievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: YOLO

Achievements

Achievement: StarstruckAchievement: QuickdrawAchievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: YOLO

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cancinoray/README.md

👋 Hi, I'm Ray!

🚀 Data Engineer | 🤖 Machine Learning Enthusiast | 🌍 Remote-Ready

Mechanical Engineer turned Data Engineer — building scalable data pipelines, web applications, and ML-enabled workflows

🧠 About Me

I’m a Data Engineer with a strong foundation in Mechanical Engineering, applied mathematics, and teaching, now focused on building scalable data pipelines, analytics systems, web applications, and machine-learning–enabled solutions.

I’ve worked with remote, US-based teams and global startups, contributing to ETL pipelines, internal tools, dashboards, and full-stack web applications across e-commerce and AdTech domains. My background as a former university instructor shapes my structured, systems-oriented problem-solving approach and strong communication skills.

💡 I enjoy turning raw data into reliable systems and usable products
🎯 Career goal: Lead data teams, mentor future consultants, and build scalable data-driven products

🛠️ Tech Stack

🧩 Data Engineering & Analytics

Python SQL Apache Airflow dbt Spark

☁️ Cloud & Data Platforms

Google Cloud AWS BigQuery Snowflake

🌐 Web Development

HTML CSS JavaScript React Flask Django

🤖 Machine Learning & Data Science

Pandas NumPy scikit-learn Vertex AI

📊 Visualization & BI

Tableau Power BI

⚙️ Dev & Collaboration

Git GitHub Linux

📌 What I’ve Worked On

  • 🔹 End-to-end data pipelines (ingestion → transformation → analytics)
  • 🔹 Web applications & internal tools for data exploration and operations
  • 🔹 Airflow + dbt pipelines reducing manual work by ~25%
  • 🔹 ML models for classification, labeling, and recommendations
  • 🔹 Dashboards using Tableau & Power BI
  • 🔹 Teaching engineering mathematics & thermodynamics at university level

🎓 Background

  • 🧑‍🏫 Former University Instructor (Engineering & Mathematics)
  • ⚙️ BS Mechanical Engineering
  • 🧠 Strong foundation in applied mathematics & systems thinking
  • 🤝 Experienced with remote, cross-functional teams

🤝 Let’s Connect

📫 Reach me here:

⭐ Open to collaboration, consulting, and remote data or web projects.

Pinned Loading

  1. stackoverflow-data-pipeline stackoverflow-data-pipeline Public

    This project demonstrates an end-to-end data pipeline for processing and analyzing the Stack Overflow Developer Survey data from 2011 to 2024. It uses modern data engineering tools and practices.

    Python

  2. 2025-comelec-national-and-local-election 2025-comelec-national-and-local-election Public

    A comprehensive data engineering platform for collecting, processing, and analyzing election data from the 2025 Philippines Commission on Elections (COMELEC) national and local elections.

    Python

  3. local-election-san-carlos-analysis local-election-san-carlos-analysis Public

    This repository contains data and analysis related to the local elections in San Carlos. It includes datasets, an analysis notebook, and aggregated results to provide insights into the election out…

    HTML

  4. amazon-sales-data-analysis amazon-sales-data-analysis Public

    This project processes and analyzes Amazon sales data to generate insightful metrics and visualizations, including sales performance, return rates, profit margins, and fee analysis.

    Jupyter Notebook

  5. weather-api-pipeline-dashboard weather-api-pipeline-dashboard Public

    This project is a weather data pipeline designed for data collection, processing, and analysis. It utilizes Docker for containerization, PostgreSQL for data storage, and Metabase for visualization.

    Python

  6. machine-learning-projects machine-learning-projects Public

    Machine learning projects, experiments, and hands-on explorations

    Jupyter Notebook