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SteamyCupGames/README.md

👋 Welcome to SteamyCup Games – Powered by Néstor Piedra

🏛️ Senior Data Engineer | 🏗️ Data Architect | 🎮 Game Developer

Hi! I’m Néstor, the creator behind SteamyCup Games. As a Senior Data Engineer transitioning into Data Architecture, I bridge the gap between large-scale data infrastructure, Machine Learning pipelines, and creative software development. My focus lies in designing scalable, cost-optimized, and reliable enterprise data platforms.

Always open to collaborating on Data Architecture, Big Data, Machine Learning Infrastructure, or Analytics projects that make a real-world impact. Let’s connect! 🚀


🌐 Socials

LinkedIn YouTube


💻 Tech Stack & Architecture Capabilities

Languages & Frameworks:
Python R
C# C++ SQL

Data Engineering, Warehousing & Lakehouse:
Databricks PySpark Google BigQuery PostgreSQL Pandas NumPy Power BI

AI, Machine Learning & MLOps:
PyTorch TensorFlow Git

Databases & Storage:
MongoDB MySQL SQLite

Robotics & Embedded Systems:
ROS Raspberry Pi

Game Dev & Asset Tools:
Godot Engine Unity Unreal Engine
Blender Krita


📊 Analytics & Profile Metrics

Commit Activity Graph Key Profile Metrics
Activity Graph GitHub Profile Metrics
Most Used Languages Profile Overview & Metrics
Top Languages Public Repositories: Repos
Profile Views: Views
Followers: Followers

🏗️ Data Architecture Focus Areas

Ingestion & Streaming Lakehouse & Medallion Serving & Analytics
• Kafka / Event Hubs • Databricks / Delta Lake • Google BigQuery
• Batch ETL / PySpark • Bronze / Silver / Gold • Power BI Dashboards
• Relational (PostgreSQL) • Governance & Lineage • ML Feature Store

✍️ Dev & Architecture Quote

Pinned Loading

  1. Music-Business-Insights---Exploratory-Data-Analysis-with-WSDA_Music Music-Business-Insights---Exploratory-Data-Analysis-with-WSDA_Music Public

    🎧 Exploratory Data Analysis project using the WSDA_Music SQL dataset – uncovering music trends, customer behavior, and sales insights through SQL, Python and Power BI.

    Jupyter Notebook 2

  2. Apex-Revenue-Engine Apex-Revenue-Engine Public

    Predictive Revenue Engine & Shark Detector | Recovering Unattributed Luxury Segment Income via Algorithmic Lead Scoring (Random Forest) and LTV Regression. Built with BigQuery, Parquet, and Streamlit.

    Jupyter Notebook 1

  3. Data-Pipeline-Web-Scraping-Cleansing-Analyzing-and-Storing-in-MongoDB Data-Pipeline-Web-Scraping-Cleansing-Analyzing-and-Storing-in-MongoDB Public

    Complete ETL pipeline: scrapes smartphone pricing from Unimart CR, cleans data, stores in MongoDB, and generates market insights with visualizations. Built with Python, BeautifulSoup, Pandas & Matp…

    Jupyter Notebook 1

  4. SuperSimple-2D-Kit-by-Thomas-Brush--Port-by-Nestor-Piedra- SuperSimple-2D-Kit-by-Thomas-Brush--Port-by-Nestor-Piedra- Public

    This is a ported version to Godot4.1 of the Super Simple 2D Kit by Thomas Brush

    GDScript 1 1