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Welcome to my portfolio. I'm Jaime and this website is an attempt at displaying my passion for the field of study that I have worked on for 2+ years.
Everything you see here I have created by hand, using some of the technologies I'm most experienced in, and some others that I've recently picked up but that I'm quite liking so far.
This will have the classic CV sections like Professional Experiences or Certifications, but there will also be some sections on how this was constructed.
If you feel like I could be a good fit for your company, feel free to reach out to me on LinkedIn. You can also check out the repository with this website's source code here APP, Kubernetes manifests.
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I have worked as a Data Engineer across different industries, from energy to AI. At Multiverse Computing, I designed and implemented a comprehensive observability stack for the CompactifAI inference platform, creating a layered framework that provided high-level insights for leadership and granular telemetry for engineers. This work cut request tracing from minutes to seconds and brought full visibility into production LLM deployments. At Sopra Steria, I built large-scale energy data pipelines handling hundreds of TB weekly with Pandas, Polars, and Dask. At Edubit, I integrated AI tutoring capabilities into production, reducing teacher workload through prompt engineering and API development. I've worked across the full stack including Kubernetes, Terraform, Grafana, SQL, and Python-based ETL workflows.
EXPERIENCE │Data Engineer (Fixed-Term) @ Multiverse Computing Mar 2026 - Jul 2026│ │ Observability: Grafana, Prometheus, Openmeter │ │ DevOps: Terraform, ArgoCD, Kubernetes, GitLab │ │ Backend: FastAPI, Python │ │ ML: vLLM │ │ Database: PostgreSQL │ │ Cloud: AWS │ ├──────────────────────────────────────────────────────────────────────────────┤ │Data Engineer @ Sopra Steria Sep 2024 - Feb 2026│ │ Language: Python, .NET │ │ Orchestration: Control-M, PowerShell │ │ Data Processing: Pandas, Polars, Dask │ │ DevOps: Kubernetes, Ansible, GitLab, JFrog │ │ Database: PostgreSQL, MySQL, Hive │ ├──────────────────────────────────────────────────────────────────────────────┤ │Data Engineer Intern @ Estudio F. Jerez May 2024 - Jun 2024│ │ Backend: FastAPI, Python │ │ Database: MySQL │ │ Validation: Data validation, Business logic │ │ Frontend: HTML, Forms │ ├──────────────────────────────────────────────────────────────────────────────┤ │AI Engineer Intern @ Edubit Jul 2024 - Aug 2024│ │ ML/AI: OpenAI, Hugging Face │ │ Backend: Python, REST APIs │ │ Prompt Engineering: Prompt design, Tuning │ │ CI/CD: GitHub Actions │ ├──────────────────────────────────────────────────────────────────────────────┤ │Data Engineer - Personal Projects Ongoing│ │ Big Data: Spark, Databricks, Delta Lake │ │ Database: MongoDB │ │ ETL: PySpark, Delta Live Tables │ └──────────────────────────────────────────────────────────────────────────────┘
This application is running inside one of the technologies I like the most, Kubernetes. I've worked with it for a couple of years now and, even though it might be a bit overkill, I decided to build this website inside a cluster that lives in a rented server. Here you can see the resources that it is consuming and the time the pod that is serving you has been living for (which will probably be the time since the last push to this Github Repo).
K8S │ connecting...
This website tracks user interactions (clicks and dwell time per section) and stores them in MongoDB. I have professional experience with MongoDB, having used it for data storage, aggregation pipelines, and real-time analytics. Here you can see a live view of the analytics stored in the database that powers this site, real data from real visitors, aggregated on the fly.
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The resource metrics shown above are also persisted to MongoDB every 30 seconds. Here you can see the historical CPU and memory usage over the last 24 hours, aggregated hourly. The infrastructure story of this site, stored in the same database as your visit.
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