About
I'm Emilio, based in Monterrey. I studied Business Informatics Engineering, and for the six-plus years since, my work has lived in the overlap between data and software: SQL Server and Power BI on one side, C# and full applications on the other. At Steelcase that meant helping stand up Akeneo as the company's single source of truth for product data, across roughly 3 billion attribute records at peak, still the largest dataset I've managed. At Ruhrpumpen, where I'm a Data Analyst Specialist now, I designed PartsNexus, an internal sales-analytics application, from a blank page. I also spend real time on agent orchestration and other LLM-assisted workflows, folded into whatever I'm already building rather than kept separate. Open to remote roles where data and software keep overlapping like this.
Monterrey, NL · Mexico · CT
My Career as Data
Roles, stack growth, and a few numbers that are still counting.
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Role Timeline
Horizontal bar chart of every role from 2020 to today, showing employer, title, and duration.
| Employer | Role | Start | End | Duration |
|---|---|---|---|---|
| Ruhrpumpen | Data Analyst Specialist | Apr 2025 | Present | 15 months |
| Steelcase Inc. | Product Data Analyst | Jun 2022 | Nov 2024 | 29 months |
| My Wink Store | Entrepreneurship | Feb 2022 | Jun 2024 | 28 months |
| Definity First | QA | Jan 2020 | Feb 2021 | 13 months |
Stack Evolution
Stacked column chart of skill categories used per year, from 2020 to today.
| Year | SQL & Modeling | BI & Pipelines | Cloud & AI | Testing & Development |
|---|---|---|---|---|
| 2020 | 0 | 0 | 0 | 2 |
| 2021 | 0 | 0 | 0 | 2 |
| 2022 | 2 | 4 | 0 | 0 |
| 2023 | 2 | 4 | 0 | 0 |
| 2024 | 2 | 4 | 0 | 0 |
| 2025 | 4 | 2 | 3 | 0 |
| 2026 | 4 | 2 | 3 | 0 |
61,400,000
AI tokens processed
(estimated)
6.6
Years working with data
3B+
Biggest dataset managed
40+
Dashboards shipped to production
8
Certifications
250+
Users supported by my solutions
Where I've Worked
I'm a Data Analyst Specialist inside Ruhrpumpen's Global Spare Parts Business Unit (Aftermarket), and the job splits roughly in half. On the analytics side, I built the Business Plan from SQL analysis of Installed Base, Bookings, and QPQ Quotes data to size regional growth targets, wrote the KPI methodology behind a spare-parts sales strategy aimed at a multi-million-dollar revenue gap in our installed base, and reworked the fact and dimension tables under our Power BI reports so they stopped being slow, on top of Baan ERP data that wasn't a single source of truth until we made it one. On the software side, PartsNexus was my idea. It's an internal .NET application, still mine to lead alongside an external developer, that scores every salesperson, territory, client, and asset so the team can see where they are gaining or losing ground. The piece I'm building into it now, not live yet, is a pricing tool that will use machine learning to flag whether a quote is likely to win at a given price for a given client.
At Steelcase I was on the Master Data Management team that picked Akeneo as the company's next PIM, and I ended up pivotal to that decision: running the evaluation, testing configurations, and making the case for why it fit. Once we were in, I set up and managed the single biggest dataset I've worked with to date, something like 3 billion rows of product attribute data, migrating it in from disparate sources through REST APIs and writing the SQL to clean and reconcile it before global rollout. Somewhere in the middle of all that, I also built an internal SharePoint-style site where people could submit support tickets, browse learning material matched to their role, and read update notes on what had changed, a smaller project, but a real one.
My family opened a retail store, and I ended up running most of the operational setup on nights and weekends while holding a full-time job at Steelcase. The POS system was the first piece, then inventory tracking, and eventually a proper customer database once I got tired of losing track of repeat buyers. I kept building Power BI dashboards with DAX on the side to see what was actually selling, and ran the small marketing team we had using Agile and a Kanban board, which meant learning to manage people, not just data, in whatever hours were left after Steelcase.
My undergrad capstone, a two-semester project done in direct collaboration with CEMEX. Not a job, but real client work. We used advanced SQL and Power BI (DAX) to build dashboards that tracked down and diagnosed production issues on CEMEX Go, their B2B app for construction-industry clients. It was my first time seeing what it's like when the person asking for the dashboard is a real company with real stakes, not a professor grading a rubric.
My first real job in tech was a QA role at Definity First, testing Blitz, a data-heavy platform that worked something like an ERP or CRM for calculating corporate incentives. I did functional and regression testing across the full stack, wrote documentation, and worked with developers to track down what I found. It wasn't pure QA: the role also had me doing hands-on software development on the same platform. Out of a three-person QA team, I finished the year as the top bug finder. Thirteen months, January 2020 to February 2021, mostly spent learning how software breaks before it reaches a customer.
What I Know, What I'm Learning
One Project, Built End to End
One project, in depth. Not ten in passing.
Evolver
Active DevelopmentAI-powered leadership development platform
Most leadership development programs fail because they're generic. A senior engineer and a first-time manager need different work, but they get the same workshop, the same PDF, the same one-size-fits-all curriculum.
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Database-enforced multi-tenancy.
Postgres Row-Level Security guarantees that companies can't see each other's data, even if my app code forgets a WHERE clause. Security at the infrastructure layer, not the application layer.
AI-driven personalized curriculum.
360° feedback (self, manager, peers) feeds into an AI layer that identifies skill gaps and assembles a tailored 21-section program. Two employees can start the same day and end up with completely different work.
Let's talk
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