Hello, I'm Hector!

Backend Engineer | Data Pipeline Architect | System Optimizer

Chandler, AZ
5 Years at Intel
MS Computer Science
Discover My Work Download Resume

About Me

I am a software application engineer with 5 years of production experience at Intel, where I specialized in building and optimizing large-scale ETL pipelines and data systems. I transitioned from process engineering in semiconductor manufacturing to software development, giving me a unique perspective on solving complex operational challenges with modern backend technologies.

Currently pursuing my Master's in Computer Science at Arizona State University (GPA 3.75), I focus on distributed systems, data processing at scale, and system architecture. My expertise spans Python, C#, SQL optimization, and building production-grade data pipelines using technologies like Airflow, Docker, and cloud platforms.

I'm passionate about building scalable, high-performance backend systems that handle millions of data points daily. My experience managing Intel's global Engineering Data Interface (EDI.com) taught me the importance of reliability, performance optimization, and maintainable code architecture.

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Technical Skills

Backend Development

Python C# Java C++ FastAPI Flask .NET

Database Systems

SQL Server PostgreSQL Oracle Query Optimization Schema Design

Data Engineering

ETL Pipelines Apache Airflow Docker Data Processing at Scale

Data Science & ML

Pandas NumPy scikit-learn LangChain spaCy VADER Sentiment

Frontend (Supporting)

JavaScript TypeScript Angular React D3.js Highcharts

Tools & Practices

Git GitHub Jira VS Code Visual Studio Code Reviews Agile

Education

Master of Science in Computer Science

Arizona State University | Expected July 2026

  • GPA: 3.75/4.0
  • Relevant Coursework: Data Processing at Scale, Computer Operating Systems, Data Structures and Algorithms, Applied Cryptography, Data Visualization, Artificial Intelligence
  • Focus: Distributed systems and backend architecture

Bachelor of Science in Chemical Engineering

Arizona State University | May 2015

  • Foundation in analytical problem-solving, process optimization, and data analysis
  • Transitioned technical skills from manufacturing to software engineering

Professional Experience

Software Application Engineer

Intel Corporation

June 2020 – July 2025
Chandler, AZ
  • Spearheaded modernization of Intel's global Engineering Data Interface (EDI.com), building performant data visualizations using Python, D3.js, and Highcharts in Angular, improving data accessibility for thousands of global engineering users
  • Re-architected entire backend ETL pipeline by migrating from Python/Oracle to C#/SQL Server, delivering significant cost savings while improving scalability and long-term maintainability
  • Designed and deployed modern ETL pipelines using Python, Airflow, SQL Server, and Docker, increasing automation and reducing manual intervention in backend workflows
  • Enhanced database table structures to optimize query efficiency, reducing data transfer times from over 30 seconds to under 3 seconds, supporting faster decision-making for engineering teams
  • Maintained high-availability systems across Intel's global server infrastructure, ensuring uninterrupted support for worldwide manufacturing operations
  • Led code reviews and established Python coding standards, improving code quality and reducing defects across the development team

Photolithography Process Engineer

Intel Corporation

June 2015 – May 2020
Chandler, AZ
  • Sustained high-volume semiconductor manufacturing processes, optimizing throughput, cycle time, and yield across multiple technology nodes
  • Reduced defect mechanisms and scrap through data-driven process improvements and statistical process control
  • Developed and deployed automation tools including SQL queries, Python scripts, and data visualization dashboards that shaped strategic decisions for cross-functional teams
  • Mentored new engineers on semiconductor equipment (Nikon and ASML scanners) and photolithography processes, accelerating team ramp-up

Featured Projects

Showcasing production-grade backend systems and data engineering solutions

PersonalFinanceHub Dashboard
Code

PersonalFinanceHub

AI-powered personal finance tool for processing credit card transactions from Apple Card, Chase, Amex, and Citi. Features automated categorization using OpenAI GPT, data normalization, and PostgreSQL storage.

Python PostgreSQL OpenAI ETL FastAPI
Wedding Page Website
Code

Wedding Website

Elegant bilingual wedding website with rose gold theme. Features RSVP system, "Our Story" timeline, event details, and responsive design with beautiful animations.

React FastAPI PostgreSQL Tailwind Docker
Money Review Page Dashboard
Code

Money Review Page

Budget dashboard with interactive D3.js visualizations for tracking spending trends. Features monthly/quarterly/YTD views, category analysis, and multi-user support.

FastAPI React D3.js PostgreSQL PM2
REST API
Code Demo

REST API with Advanced Features

Scalable backend service implementing enterprise patterns including authentication, rate limiting, caching, and comprehensive API documentation.

FastAPI PostgreSQL Redis Docker JWT
Real-Time Dashboard
Code Demo

Real-Time Data Processing Dashboard

Full-stack application with stream processing pipeline and live updates. Features interactive visualizations and WebSocket implementation.

Python FastAPI WebSockets React D3.js
Claude MCP Server Collection
Code

Claude MCP Server Collection

Model Context Protocol servers for Claude AI providing real-time access to stocks, weather data, and external APIs. Extends AI assistant capabilities.

Python MCP Claude AI APIs
Distributed System
Code

Distributed System Implementation

Academic project demonstrating distributed computing concepts with focus on scalability and fault tolerance patterns.

Python Distributed Computing Fault Tolerance
LeetCode Practice
Code

LeetCode Practice

Daily coding practice repository featuring algorithm solutions with documented time/space complexity analysis. Organized by difficulty with test cases and optimization notes.

Python Algorithms Data Structures

Get In Touch

Interested in working together? Let's connect!

Email
hhhector9@gmail.com
LinkedIn
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GitHub
View my code