Renato AragónSenior Data Engineer

AWS · PySpark · Apache Iceberg · Python · GenAI

Senior Data Engineer and Technical Lead with 13+ years designing enterprise data platforms, ETL/ELT pipelines, and cloud-native architectures in regulated and high-volume environments. Background combining hands-on engineering, technical ownership, data governance, and cross-functional alignment — operating across architecture, automation, analytics, and stakeholder-facing responsibilities.

Available for B2B remote contracts · EU

Contact

✉renatoaragon@icloud.com📱WhatsAppinlinkedin.com/in/aragonrenato📍Porto, Portugal
Get in touch

Results

What I actually deliver

Monthly billing reconciliation

Before

12 days

→

After

Real-time dashboard

Partner onboarding signature

Before

8 hours / signature

→

After

8 seconds

Internal report generation

Before

2 business days

→

After

Under 2 minutes

Daily tax authority emails

Before

1,500+ reviewed manually

→

After

Automated ingestion + tracking

Revenue data visibility

Before

No real-time financial data

→

After

Live P&L + payroll + ledger

Company revenue supported

Before

~R$8M avg/month

→

After

R$25M+ avg/month

Platform and data infrastructure built over 2 years at AG Capital Group

Technical

Core Expertise

Architecture

Cloud-native Data Platforms · Lakehouse · Distributed Processing · Platform Modernization

Leadership

Technical Lead · Product Ownership · Architecture Decisions · Cross-functional Alignment

Cloud & Data

AWS Glue · EMR · Athena · S3 · Lambda · Step Functions · RDS

Data Engineering

PySpark · Apache Iceberg · ETL/ELT · Lakehouse · Incremental Processing

Backend & Integration

Python · PostgreSQL · Next.js · REST APIs · HubSpot API · Microsoft Graph · GenAI

Infrastructure

Terraform · Docker · CI/CD · GitHub Actions

Governance & Ops

Data Quality · Lineage · Deduplication · Schema Evolution · Dashboards

Databases

PostgreSQL · MySQL · SQL Server · Redshift · Snowflake

Work history

Experience

Aragón Tecnologia

Ongoing2013 – Present

Founder & Lead Data Engineer

  • Designed cloud-native SaaS platforms and automation systems for clients across Brazil and Portugal, translating operational requirements into scalable technical solutions.
  • Led end-to-end technical delivery: architecture, ETL design, cloud infrastructure, and client-facing stakeholder alignment.
  • Stack: Python · PostgreSQL · AWS · Next.js · AI integrations.

BMW Group

(via B2B Contract)2024 – 2026

Senior Data Engineer

  • Designed and modernized enterprise batch pipelines using AWS Glue and EMR integrated with BMW Cloud Data Hub (CDH).
  • Implemented complex PySpark transformation layers for large-scale automotive and operational datasets.
  • Applied Apache Iceberg transactional patterns: upserts, schema evolution, and time travel.
  • Supported scalable infrastructure patterns using Terraform and cloud-native orchestration.
  • Collaborated within regulated enterprise environments with governance and analytics stakeholders.

AG Capital Group

(via B2B Contract)2018 – 2026

Senior Data Engineer / Technical Lead

  • Led evolution of centralized analytics and operational platform across 14+ integrated systems, 8 business units, and 324 daily users.
  • Architected ETL pipelines integrating financial systems, CRM (HubSpot API), fiscal authorities (Receita Federal), and Microsoft Graph.
  • Developed governance mechanisms: audit layers, deduplication strategies, real-time P&L integrated with accounting ledger and payroll.
  • Reduced operational effort by over 40% through platform modernization, cloud-native automation, and GenAI integration for commercial teams.
  • Acted as Technical Lead and architecture reference across data engineering decisions, delivery ownership, and cross-functional initiatives.
Computer Engineering · UNISUL, BrazilPortuguese — Native · English — C1 AdvancedAuthorized to work in Portugal and the European Union.

Let's work together

“You've seen what I build for myself. Let's talk about what I can build for you.”

I'm available for B2B remote contracts across EU. If you're building or modernising a data platform, reach out directly.

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