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Developing new things
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Developing new things
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tuni56/README.md

Rocío Baigorria

Data Platform Engineer | Event-Driven Architectures | Generative AI for Data Operations

I design cloud-native data platforms that turn events into decisions.

My journey spans Industrial Engineering, Software Development, and Data Engineering, giving me a unique perspective on how to connect business goals with scalable technical solutions. Today, I focus on building modern data platforms, event-driven systems, and AI-powered operational workflows 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.

What I Build

  • 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

Featured Projects

Bedrock DLQ Triage

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 https://github.com/tuni56/bedrock-dlq-triage

Financial Leak Detector

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 https://github.com/tuni56/autonomous-financial-leak-detector

Real-Time Event-Driven Data Platform

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

Stack: Apache Kafka, Python, Redis, Grafana, Terraform https://github.com/tuni56/real-time-event-driven-data-pipeline

Ecommerce Data Warehouse

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

Stack: Redshift, SQL, S3, Terraform https://github.com/tuni56/ecommerce-data-warehouse-redshift

Serverless Data Lake Platform

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

Stack: S3, Glue, Athena, Python https://github.com/tuni56/serverless-aws-data-lake-with-kiro

Community & Leadership

  • 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

Programs & Recognition

  • 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

Areas of Interest

  • Event-Driven Architectures
  • Data Platform Engineering
  • AI for Data Operations
  • Cloud Architecture
  • Reliability Engineering
  • Data Strategy and Analytics
  • Technical Leadership and Community Building

Connect

GitHub Space Invaders

Pinned Loading

  1. ecommerce-streaming-data-platform ecommerce-streaming-data-platform Public

    Real-time ecommerce streaming data platform using Kafka, AWS Route 53 routing, event-driven architecture, and observability with Grafana.

    Python

  2. serverless-aws-data-lake-with-kiro serverless-aws-data-lake-with-kiro Public

    Cost-optimized serverless AWS data lake using S3, Glue, Athena, CloudFormation, and Kiro. Raw/curated architecture, Parquet, automated crawlers, and zero-idle compute.

    Python 3

  3. iot-data-architecture-aws iot-data-architecture-aws Public

    Cost-effective AWS architecture for ingesting, storing, and querying 5 years of IoT sensor data using a serverless data lake approach.

    1 1

  4. AWS-Cost-Dashboard-Serverless- AWS-Cost-Dashboard-Serverless- Public

    AWS Cost Dashboard Serverless

    Python

  5. real-time-event-driven-data-pipeline real-time-event-driven-data-pipeline Public

    Real-time event streaming pipeline with Kafka, Schema Registry, Kafka Streams, and production monitoring. Demonstrates advanced data engineering patterns at scale.

    Java

  6. datalake-analytics-pipeline datalake-analytics-pipeline Public

    Python