About me
I'm Martin, a Data Engineer at Caylent, an AWS consulting company where I help clients build, migrate, and optimize their data infrastructure in the cloud.
I'm based in Monterrey, Mexico. Spanish is my native language, and I'm fully proficient in English.
What I do
My work lives at the intersection of data engineering and cloud architecture. I've worked on OpenSearch implementations with complex parent-child data models, database migrations with zero-downtime cutovers, Kubernetes-based data platforms, QuickSight analytics layers, and more. Each project teaches me something new about how data moves through systems at scale.
I think in tradeoffs. There's rarely an absolute best option in engineering, only the right option for this context, these constraints, this team. I care about understanding why a solution works, not just how to implement it.
How I think
I believe in breaking problems into smaller parts, thinking in diagrams, and always delivering something. If a task isn't practical yet, I build a document. If I don't know something, I go learn it. My approach is: roadmaps, checklists, requirements. Then iterate.
I'm deeply influenced by Martin Kleppmann's Designing Data-Intensive Applications and the philosophy that real engineering is about grabbing existing blocks and snapping them together to create something new. The superpower isn't genius. It's iteration.
Beyond work
When I'm not engineering, I'm probably on my bike, studying for my next AWS certification, exploring business ideas, or diving into whatever topic grabbed my attention that week. I care about mental health, continuous learning, and building things that matter.
This site
This website is deployed on AWS using S3, CloudFront, ACM, and Route 53, all managed with Terraform and deployed via GitHub Actions with OIDC authentication. No long-lived keys, no manual deploys, zero-trust CI/CD. The whole thing costs about $0.51/month.