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Rocio Baigorria profile picture

Rocio Baigorria

Senior Data Engineer & Technical Rebel. Co-leader @AWSGirlsArg. Building resilient event-driven systems. Simplifying the complex, from atoms to bits. 🛠️✨ Cloud is just someone else's RAM.

Location Buenos Aires, Argentina Joined Joined on  Personal website https://dxaokewn60u4i.cloudfront.net/ github website

Education

I went to Universidad Tecnologica Nacional and Instituto Data Science.

Pronouns

She/her

Work

Senior Data Engineer & Event-Driven Architect | Co-leader @AWSGirlsArg | Speaker & Mentor

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AWS Lambda Invocations: 3 Hard Lessons on Tradeoffs
tuni56 profile

AWS Lambda Invocations: 3 Hard Lessons on Tradeoffs

#showdev #aws #serverless #lambda
Comments
2 min read
From Kafka to the Cloud: Designing a Real-Time Event-Driven Data Pipeline on AWS
tuni56 profile

From Kafka to the Cloud: Designing a Real-Time Event-Driven Data Pipeline on AWS

#aws #dataengineering #kafka #eventdriven
1
Comments
3 min read
Stop Overpaying for AWS Data Transfer: A Guide to VPC Endpoints
tuni56 profile

Stop Overpaying for AWS Data Transfer: A Guide to VPC Endpoints

#aws #architecture #dataengineering #cloudsecurity
Comments
2 min read

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Your Serverless Data Lake is Lying to You (Add Observability or Lose Data)
tuni56 profile

Your Serverless Data Lake is Lying to You (Add Observability or Lose Data)

#showdev #aws #serverless #observability
Comments
2 min read
Stop Babysitting Servers: Build a Scalable Serverless Data Lake on AWS
tuni56 profile

Stop Babysitting Servers: Build a Scalable Serverless Data Lake on AWS

#showdev #aws #serverless #dataengineering
Comments
2 min read
Flink + AI: Building Real-Time Decision Systems (Not Just Data Pipelines)
tuni56 profile

Flink + AI: Building Real-Time Decision Systems (Not Just Data Pipelines)

#showdev #eventdriven #agenticai #flink
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2 min read
Kafka and Data Streaming: From Batch Thinking to Real-Time Systems
tuni56 profile

Kafka and Data Streaming: From Batch Thinking to Real-Time Systems

#kafka #data #dataengineering #streaming
Comments
3 min read
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