Senior Data Engineer · Builder
Renato Aragón
I architect and run cloud data platforms — and ship production software end to end. Senior Data Engineer working with large-scale pipelines on AWS, and founder of Aragón Tecnologia, where I build and operate AI-driven SaaS products serving real customers.
const renato = {
role: "Senior Data Engineer",
cloud: ["AWS", "Terraform"],
builds: "AI SaaS @ Aragón",
status: "shipping" ✦
}// about
Data engineering meets product.
I build reliable batch and streaming pipelines, model data for analytics, and automate infrastructure as code. I care about systems that are correct, observable, and maintainable — not just demos that work once.
Through Aragón Tecnologia I take products from idea to production: architecture, development, deployment, and operations — including zero-downtime deploys and AI integrated where it genuinely improves the product.
// stack
The toolkit.
Data & Pipelines
- Python
- PySpark
- Pandas
- Athena
- Databricks
- ETL / ELT
- Data modelling
Cloud & DevOps
- AWS
- Terraform
- Docker
- Linux
- Nginx
- CI/CD
- Blue-green deploys
Web & Product
- Next.js
- React
- TypeScript
- Node.js
- Tailwind
Storage & AI
- PostgreSQL
- Prisma
- Redis
- REST APIs
- LLM integration
// experience
Where I've worked.
Senior Data Engineer
Enterprise Insurance Client, UK (via consultancy)Large-scale data pipelines and platform engineering on cloud infrastructure — building reliable, observable data flows for enterprise analytics.
Founder & Engineer
Aragón TecnologiaBuilding and operating a portfolio of AI-driven vertical SaaS products end to end — architecture, development, deployment and operations.
Data Engineer
BMW Group - USAData engineering on AWS — S3, EC2, Athena, PySpark and infrastructure as code with Terraform, in an international, English-speaking environment.
// work
Products I've built & operate.
Vertical SaaS through Aragón Tecnologia — software and data architecture with applied AI, built for trust, security, and precision.
PsycoHub
↗Clinical management platform for psychologists — records, scheduling and finance in one place. 21 validated clinical scales with automatic scoring, plus AI that drafts records, flags dropout risk, and surfaces progress insights.
NutriPro
↗Digital platform for nutritionists pairing AI-assisted nutritional analysis with real-time patient tracking and teleconsultation — cutting analysis time and improving adherence through a digital food diary.
Sola Beauty
↗Management platform for beauty salons and studios — scheduling, automated WhatsApp confirmations, and real-time financial reporting that cuts no-shows and helps independent professionals grow.
Full portfolio at aragontecnologia.com →
// open source
Engineering in the open.
Public data engineering projects: real patterns, tested and CI-checked, built in small reviewed pull requests. Synthetic data only.
kafka-retail-streaming
↗Real-time retail events through Kafka (KRaft) and Spark Structured Streaming: windowed aggregations with watermarks, a dead-letter queue, an Iceberg sink with exactly-once semantics, and CDC with Postgres and Debezium.
spark-retail-etl
↗Production-shaped batch ETL with PySpark: incremental loads over a high-watermark, partitioned outputs, quality gates with volume anomaly detection, run summaries for observability, and architecture decision records.
dbt-duckdb-analytics
↗Analytics engineering with dbt and DuckDB: staging to marts with four layers of data tests, from column contracts and referential integrity to cross-layer revenue reconciliation. Runs end to end at zero cost.
terraform-aws-datalake
↗Reusable Terraform module for an AWS data lake on S3, Glue and Athena: secure by default, plan-time input validation that mirrors the real API constraints, and fmt, validate and tflint gates in CI.
data-mapping-framework
↗Maps heterogeneous sources (CSV, JSON, SQL, Parquet) into a canonical model and runs business rules over it, splitting valid rows from rejects with every violated rule reported per row.
nl-to-sql
↗Natural language to SQL with Claude: the model proposes, a deterministic guard disposes. A minimal lexer normalizes each query and blocks anything that is not a single read-only SELECT.
meucomboio-pt
↗A real product in the open: next-train departures and trip planning for Portugal on CP's open GTFS data. Daily sync pipeline with a quality gate, service-calendar aware planning, pricing from CP's public API, and a dbt analytics layer.
inventario-familiar
↗Self-hosted portal for families in an estate process: shared documents, automatic income splitting and individual statements. A dbt + DuckDB analytics layer sits on top, with a reconciliation gate that fails CI if a single cent goes unaccounted for. Synthetic data only.
More on github.com/renatoaragon →