I help startups and growing companies design modern cloud and data platforms without unnecessary complexity.

My work sits at the intersection of Data Engineering, Cloud Architecture, and AI-powered Operations, where technology decisions directly influence business outcomes.

With a background spanning Industrial Engineering, Software Development, and Data Engineering, I bring a practical perspective to building scalable platforms, event-driven systems, and operational workflows that help organizations turn data into better decisions.

Today, I focus on designing cloud-native data platforms, event-driven architectures, and AI-powered solutions on AWS.

Beyond engineering, I am passionate about knowledge sharing and community building. I serve as Co-Leader of AWS Girls Argentina, speak at technology communities across Latin America, and create technical content through my newsletter, Data: A Game Changer, Builder Center, and Coder Legion.

• Event-Driven Data Platforms
• Cloud-Native Analytics Architectures
• Streaming Systems with Apache Kafka
• Generative AI Solutions for Data Operations
• Data Lakes and Data Warehouses on AWS
• Infrastructure as Code with Terraform
• Reliable, Observable, and Cost-Efficient Systems

AI-powered operational workflow that classifies dead-letter queue messages, prioritizes incidents, recommends remediation actions, and supports controlled replay strategies.

Focus: Generative AI for Operations, Reliability Engineering, Incident Management

Intelligent monitoring solution designed to identify spending anomalies, detect cost leak patterns, and provide actionable recommendations for cloud environments.

Focus: FinOps, AI-Assisted Analysis, Cloud Optimization

Streaming architecture designed around event-driven principles, resilient ingestion, observability, and scalable processing.

Stack: Apache Kafka, Python, Redis, Grafana, Terraform

Analytical platform built on Redshift Serverless with incremental ingestion, dimensional modeling, and infrastructure automation.

Stack: Redshift, SQL, S3, Terraform

AWS-native data lake architecture with raw, processed, and curated layers supporting analytics and data discovery.

Stack: S3, Glue, Athena, Python

• Co-Leader, AWS Girls Argentina
• Technical Speaker across AWS, Google Cloud, university, and technology communities in Latin America
• Speaker on Event-Driven Architectures, Cloud Data Platforms, Resilience, and AI for Data Operations
• Technical Writer at Builder Center and Coder Legion
• Author of the newsletter Data: A Game Changer

• AWS All Builders Welcome Grantee
• AWS She Builds Mentorship Program
• Veeam EmpowerHer Scholar
• EPAM Cloud Platform Engineer Specialization Program
• McKinsey Forward Program
• Confluent Data Streaming Engineering Foundations

• Cloud Platforms
• Data Engineering
• Event-Driven Architectures
• AI for Data Operations
• Cloud Cost Optimization
• Reliability Engineering
• Data Strategy and Analytics
• Technical Leadership and Community Building

• LinkedIn: https://www.linkedin.com/in/rociobaigorria/
• Newsletter: Data: A Game Changer
• Builder Center: AWS Community Articles
• Coder Legion: Technical Blog