Cloud • Data • DevOps • MLOps

Cloud & Data Engineer building reliable platforms in Munich.

I’m Carlos, a Cloud & Data Engineer with hands-on experience delivering AWS infrastructure-as-code, multi-environment data platforms, and batch pipelines at enterprise scale, plus a background in DevOps, IAM/security hardening, and full-stack product delivery.

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About

I’m currently completing an M.Sc. in Informatics at TUM Munich while working on production-grade cloud and data engineering projects. My recent work includes Terraform and AWS CDK infrastructure, EMR/Spark pipelines, IAM hardening, and observability for autonomous driving and electromobility data platforms. I have experience in both fast-moving startups and larger enterprises, bringing engineering best practices into small teams without slowing their velocity. I am open to consultancy-style roles across mobility, logistics, media, and healthcare. Please confirm this wording before publicizing.

Experience

BMW — Cloud DevOps Engineer (Working Student)

Jun 2025 – Sep 2026

Maintain AWS infrastructure as code across production services using Terraform and AWS CDK, with staged environments and controlled rollout steps.
Build and support batch data pipelines with EMR/Spark, AWS Glue, Python, and Scala for enterprise-scale mobility data workloads.
Configure IAM roles and policies, contribute to security hardening across KMS, Secrets Manager, and VPC, and support incident and root-cause analysis.

Ocumeda — Data Engineer and Analytics (Working Student)

Jun 2024 – Jun 2025

Designed and implemented scalable AWS-based data architecture using S3, Lambda, Redshift, and Step Functions.
Delivered around 10 ETL pipelines using Python and built governance and data-quality practices for a fast-growing startup.

Selected Projects

Salsuki — Community Management Platform

2024 – Current

Built and maintained a full-stack platform for a non-profit salsa school with bookings, wallet balances, waitlists, and resource management.
Delivered the frontend with React, TypeScript, Vite, and Tailwind CSS, and the backend with Supabase, Edge Functions, Auth, and Storage.
Added a credit-based internal economy, event booking workflows, and interactive learning-resource features. Link: TODO — add live app or repo link

LECture-bot — GenAI course assistant

Apr 2025 – Aug 2025

Designed the RAG and generative AI subsystem for a course-material assistant, processing documents, storing vectors, and integrating with cloud and local LLMs.

Skills

Cloud & Data

Development & MLOps

Education

Technical University of Munich

Oct 2023 – Expected Apr 2027

M.Sc. in Informatics with coursework in Cloud Computing, Cloud-Based Data Processing, DevOps, Machine Learning, and Requirements Engineering.

Instituto Politécnico Nacional

Jan 2015 – Jul 2020

B.Sc. in Computer System Engineering.