QA · Data quality · Data engineering in progress

I make data
easier to trust.

I’m Carlos, a QA professional who has validated data pipelines, dashboards, and APIs, and worked as a QA Lead. I’ve also mentored others and supported customers. Now I’m studying Data Engineering to build on that foundation.

Open to Senior QA · Data QA · Data Validation · Data Engineer

Quality is how
I approach data.

I’ve spent my QA career tracing data from pipeline outputs to dashboards—using SQL and Snowflake to compare results, investigate discrepancies, and check API responses. I also defined data-validation requirements and logic to make checks consistent.

I’ve taught others to notice QA details and ask better questions. In customer support, I learned to listen for what a customer is feeling so I can respond more helpfully. Now I’m learning to build the pipelines I know how to validate.

What I bring
to the table.

Grounded in quality work.
Focused on reliable data.

QA Lead

Led QA planning and priorities, and worked with customers and engineering to clarify requirements, coordinate testing, and support releases.

01

Validation framework design

Data-quality requirements, logic, and repeatable checks

02

Data & Python

SQL (including CTEs), Snowflake, and AI-assisted Python scripts for running queries, comparing outputs, and preparing triage reports

03

Testing & APIs

Functional and regression testing, dashboards, GraphQL, and Postman

04

People & support

QA training, mentoring, customer communication, and release support

A new layer of the work

Learning to
build the pipeline.

I’m currently studying Data Engineering, building on my QA experience to develop skills in designing and building reliable data pipelines.

Bootcamp in progress

CURRICULUM INCLUDES

  • Databricks & Delta Lake
  • Medallion architecture
  • SQL & dimensional modeling
  • Python & PySpark
  • Unity Catalog & Workflows
  • APIs & a final project

CONTACT

Let’s talk about
quality and data.