Senior Consulting Engineer · Psyncopate
Platform, Data & Cloud Engineer — infrastructure, data systems, and the platforms that make them observable
Databricks, PySpark, Delta Lake, Kubernetes, FastAPI, Terraform, and agentic coding tools. Based in Greater Austin, TX.
About
I'm a software engineer from Monterrey, Mexico, now based in Greater Austin, TX. Today I'm a Senior Consulting Engineer at Psyncopate, working on the Databricks Data Intelligence Platform. Over four years at Disney, through April 2026, I built the Cost Visibility Platform from scratch — which gave hundreds of engineering teams real-time visibility into multi-billion dollar cloud and observability spend across AWS, Datadog, Kubernetes, and several other vendors. I owned the full stack: Databricks ETL pipelines processing billions of records, a FastAPI service layer with sub-second response times, and React dashboards adopted across internal portals. In the final stretch there I integrated LLM-powered diagnostics — systems that explain cost anomalies in natural language, which reduced the need for manual triage.
Before Disney, I went deep on infrastructure-as-code. I authored four official Terraform providers in Go — MongoDB Atlas, Nutanix, Outscale, and AzureStack — and was recognized by HashiCorp as a Core Contributor in 2019. The MongoDB Atlas provider alone has since surpassed 64 million installs. I also led the migration of hundreds of on-premise databases to AWS managed services, with IaC patterns adopted across thousands of services in the Hulu and Disney Streaming ecosystem.
I graduated first in my generation at UANL (94.44/100), started my career winning an international game dev competition in Spain, and have been shipping production platform and data systems at scale ever since.
Experience
12 years across HealthTech, Telecom, Open Source, and Enterprise Media.
Projects
Products I designed, built, and run myself — one in production, one in the open. Both are live; click through and look.
A production health platform I designed, built, and run myself. It spans a patient app where people follow their own lab history and protocols, a doctor portal where clinicians review and validate lab results, an admin console for day-to-day operations, and a versioned API backend that all three surfaces are built on.
A command-line client for the Hevy workout API: read and manage workouts, routines, and exercise templates straight from the terminal. Typed end to end with pydantic v2, with retries and structured logging so scripted use fails loudly instead of silently.
Skills
12 years across platform engineering, data infrastructure, and cloud. The highlighted ones are primary or current focus.
Testimonials
From colleagues who've seen the work up close.
"The Terraform modules were adopted across more than 4,000 services within a major streaming & media ecosystem… His work also included the standardization of cloud tagging and governance practices… Mr. Marin has demonstrated a consistent ability to design and implement practical solutions related to infrastructure automation and cloud observability."
"The sustained use of these integrations is reflected in the widespread adoption of the MongoDB Atlas Terraform Provider, which has exceeded 64 million cumulative downloads on the Terraform Registry. The automation patterns he implemented fit naturally into existing infrastructure workflows, which made them easier for enterprise teams to adopt and operate in production."
Education & Awards
Contact
Whether it's data engineering, AI systems, cloud infrastructure, or an opportunity to work together — I'm always open to a good conversation.