Marcelo Zapatasoftware / automation / data
Marcelo ZapataSoftware engineer.

Data tools, QA automation, AI-assisted workflows, and practical interfaces.

C# / Azure / Python / React / Playwright / Power BI

Experience

Software Engineer.
Clear delivery.

Data engineering, QA automation, semantic layers, reporting, and modernization.

  1. 2022 - present/full-time

    Software Engineer/Enterprise retail systems

    Software engineer working across data workflows, analytics, internal tools, QA automation, and modernization. My focus is making systems easier to validate, support, and trust.

    Focus
    AI-assisted delivery workflows
    Focus
    Data lake and processing
    Focus
    Semantic models and reporting
    Focus
    Internal tools and automation
    • C#
    • Azure
    • Python
    • AI-assisted workflows
    • Snowflake
    • Databricks
    • Data lakes
    • Semantic layer
    • Power BI
    • ETL / ELT
    • APIs
    Focus
    Data systems
    Mode
    QA / data
    Delivery
    Pipelines
Projects

Selected
work.

FSU options research. Rally. AI workflow systems.

Music

Original
sounds.

A small space for songs, sketches, and recording ideas.

selected tracksMarcelo Zapata

Music stays here as part of the portfolio: original ideas, demos, and sketches without sending visitors to a separate social profile.

waveform
  • 01Sketch 01demo
  • 02Sketch 02demo
  • 03Sketch 03idea

Writing

Guitar, keys, melody ideas, and simple song sketches.

Recording

Home-recorded demos, rough arrangements, and focused ideas.

Archive

A quiet place for work that belongs on this site, separate from outside profiles.

About

Marcelo Zapata
Software engineer.

Software systems for data, automation, research workflows, practice, and review.

I build tools for real workflows: data automation, QA systems, internal tools, reporting, AI-assisted review, and practical interfaces that help teams work cleaner.

Outside work, the same pattern shows up in FSU Options Research, Rally, and AI Workflow Systems: practical builds for research, practice, structured review, and clearer decisions.

focus areas
  • C# / Azure / data systems
  • TypeScript / React / Next.js
  • Python / data automation
  • Research data workflows
  • Evidence review / validation
  • SwiftUI / SpriteKit / iOS apps

Clear tools

Software should help people do the work without making the work louder.

Human feel

The best tools feel obvious after you use them once.