J. Thomas

Software Engineer

I build automation-driven software and pipelines, simplifying businesses.

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I'm a Software Engineer that thrives in environments where I’ve got the freedom to fix real issues and suggest smarter ways of doing things. I worked on very diverse things so far, like developing SaaS, leading a Data Engineering team and creating multiple automation pipelines. If there’s a problem worth solving, I’ll pick up whatever I need to get it done, even if it’s unconventional or outside my comfort zone.

I'm the Data Engineering Tech Lead at SETIC/RO, where I lead the Automation & Data Engineering team and consult for other data teams.

When I'm free you'll find me tinkering with code(I'm working on building a custom clock) in more novel settings, playing soulslikes or practicing classic guitar.

.Net
Python
Javascript

My .NET journey started in May 2021 at SETIC/RO, where I interned on the dev team and worked on a monolith called SISNE (the State's system of appoint­ment/dismissal). Up until then, I only had Java EE experience, so I was pretty happy learning .NET.

By May 2022, I moved to the Data Department, but got to keep working with .NET. My capstone project — an IT Help Desk automation platform — featured a custom orchestrator and three .NET APIs (including a SOAP integration with a legacy system). It’s automatically solved over 40k tickets so far, saving about $10 USD per ticket and cutting resolution time by more than 99%.

By April 2024, while I was busy organizing the Data Engineering & Automation team I'd founded in Dec 2023, the Tourism State Department asked for a WhatsApp Chatbot. Relying on my well-documented foresight, I built it in .NET with scalability as the primary concern, designing a graph-like structure within SQL Server to support it.

By May 2025, my team launched a full SaaS platform based on that MVP, adaptable to any State Government department. The Tourism State Department planned to purchase a similar solution for $200k USD from a vendor later involved in legal issues — by building our own, my concept saved the Dpt. $200k USD and avoided the fallout.

Working with .NET

The best developer experience

Because sometimes Python is not consistent enough.

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Toolkit
  • .Net Blazor
  • .Net Razor Pages
  • Refit
  • Dapper
  • Entity Framework Core
  • Azure Functions

Working with Python

The everything language

For when .Net feels too bureaucratic.

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.NET
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Toolkit
  • Pandas
  • FastAPI
  • SQLAlchemy
  • PyODBC
  • Psycopg2
  • Boto3
  • Flask
  • Polars
  • Dash
  • PyGeoOGC
  • BeautifulSoup
  • ElasticSearch

My first experience with Python was in middle school, when I wrote a script that played scary music on computer startup. But my real journey with Python started in June 2022, when a coworker blew up my brain with Python's magical DataFrames. By switching from SQL digging to Python's power-tools like pandas, I became 30% faster at my usual work, from report writing to ETL.

By December 2022, we deployed Apache Airflow, and from then on I migrated most of our SQL Server Agent jobs to Airflow. By switching from procedures with linked-server to DAGs, I achieved a 40% increase in job speed.

Soon after, we needed web-friendly dashboards—and PowerBI wasn’t cutting it. We turned to Dash, deploying via Flask and Gunicorn. I trained the team from scratch, and we built dashboards used in government campaigns against Amazon forest fires, boosting field efficiency by 30–50%.

I’m currently leading three major Python projects:

  • IT Department's inaugural open-data project built on FastAPI.
  • A real-time monitoring tool cutting downtime response to under a minute.
  • Custom Automation project that's already saving us over $10K per month.

Most developers have a love/hate relationship with JavaScript, and I'm no exception: my first experience with JS was during my developer internship, in May 2021, where I had to build many search functions using Ajax and jQuery to integrate with .NET, achieving small performance increases due to smarter logic on some searches.

By March 2023, after being promoted to Data Engineering Tech Lead, I was looking for web-friendly dashboards, and that is when I discovered both Chart.js and D3.js. By using those on the MVP for a SaaS platform I was working on for the Tourism State Department, I impressed the stakeholders with the custom Charts I built for the graph-like structure of the project, thus guaranteeing that the MVP saving them $200k USD.

From then on, in January 2025, I'd start building a new tool to monitor everything related to the Data Team in real-time, powered by Chart.js. The key objective of the product is to increase reaction speed to less than a minute in case of critical failures.

Working with JavaScript

The unavoidable language

The last piece of every puzzle.

Piecing the portfolio together...
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Toolkit
  • Node.js
  • Animejs
  • React.js
  • jQuery
  • Chart.js
  • D3.js
  • Typescript
  • Prisma ORM