Igor Souza

Ireland

1K followers 500+ connections

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Teckro

Centro Federal de Educação Tecnológica de Minas Gerais

About

Currently, I'm a Software Engineer in a Data Engineer team at Teckro.

Big Data…

Activity

What The Heck is DeltaStream? #apachekafka https://lnkd.in/dNngRjmZ

What The Heck is DeltaStream? #apachekafka https://lnkd.in/dNngRjmZ

Shared by Igor Souza
How to Design Event Streams, Part 2 #apachekafka https://lnkd.in/dhTWwrKF

How to Design Event Streams, Part 2 #apachekafka https://lnkd.in/dhTWwrKF

Shared by Igor Souza
How to Design Event Streams, Part 1 #apachekafka https://lnkd.in/dZngcFeh

How to Design Event Streams, Part 1 #apachekafka https://lnkd.in/dZngcFeh

Shared by Igor Souza

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Experience

Teckro

Dublin, County Dublin, Ireland
-

Dublin, County Dublin, Ireland
-

County Dublin, Ireland
-

County Dublin, Ireland
-

Belo Horizonte Area, Brazil
-

Belo Horizonte Area, Brazil

Education

Centro Federal de Educação Tecnológica de Minas Gerais

2011 - 2012
2002 - 2008

More activity by Igor

Unify Streaming and Analytical Data with Apache Iceberg®, Confluent Tableflow, and Amazon SageMaker® Lakehouse #apachekafka https://lnkd.in/d84KNwK3

Unify Streaming and Analytical Data with Apache Iceberg®, Confluent Tableflow, and Amazon SageMaker® Lakehouse #apachekafka https://lnkd.in/d84KNwK3

Shared by Igor Souza
The Brutal Truth about Kafka Cost Calculators #apachekafka https://lnkd.in/d5QGhBAj

The Brutal Truth about Kafka Cost Calculators #apachekafka https://lnkd.in/d5QGhBAj

Shared by Igor Souza
Our first planned event for 2025 is "Goodbye Microservices, Hello Self-Contained Services". This in-person talk with Simon Martinelli is in-person at…

Our first planned event for 2025 is "Goodbye Microservices, Hello Self-Contained Services". This in-person talk with Simon Martinelli is in-person at…

Liked by Igor Souza
From Kafka vendor lock-in to open-source: less costs, more flexibility, and independence #apachekafka https://lnkd.in/dvyAc7SP

From Kafka vendor lock-in to open-source: less costs, more flexibility, and independence #apachekafka https://lnkd.in/dvyAc7SP

Shared by Igor Souza
Guide to Setting Up Apache Kafka for Data Streaming #apachekafka https://lnkd.in/d-c7Fw-j

Guide to Setting Up Apache Kafka for Data Streaming #apachekafka https://lnkd.in/d-c7Fw-j

Shared by Igor Souza
Kafka Reduce Partitions: Why It’s Not Allowed and How to Work Around It #apachekafka https://lnkd.in/dfCDfN7H

Kafka Reduce Partitions: Why It’s Not Allowed and How to Work Around It #apachekafka https://lnkd.in/dfCDfN7H

Shared by Igor Souza
Data Streaming in Healthcare and Pharma: Use Cases and Insights from Cardinal Health #apachekafka https://lnkd.in/duS7DzPW

Data Streaming in Healthcare and Pharma: Use Cases and Insights from Cardinal Health #apachekafka https://lnkd.in/duS7DzPW

Shared by Igor Souza
Unify Streaming and Analytical Data with Apache Iceberg®, Confluent Tableflow, and Amazon SageMaker® Lakehouse #apachekafka https://lnkd.in/d84KNwK3

Unify Streaming and Analytical Data with Apache Iceberg®, Confluent Tableflow, and Amazon SageMaker® Lakehouse #apachekafka https://lnkd.in/d84KNwK3

Shared by Igor Souza
Dynamic Kafka controller quorum #apachekafka https://lnkd.in/eAhCzReY

Dynamic Kafka controller quorum #apachekafka https://lnkd.in/eAhCzReY

Shared by Igor Souza
How Kafka Makes Scaling Effortless #apachekafka https://lnkd.in/d82wd4Pu

How Kafka Makes Scaling Effortless #apachekafka https://lnkd.in/d82wd4Pu

Posted by Igor Souza
The Data Streaming Landscape 2025 #apachekafka https://lnkd.in/d6YFtsYH

The Data Streaming Landscape 2025 #apachekafka https://lnkd.in/d6YFtsYH

Shared by Igor Souza
Deep Dive into Handling Consumer Fetch Requests: Kafka Producer and Consumer Internals, Part 4 #apachekafka https://lnkd.in/ecn94VQx

Deep Dive into Handling Consumer Fetch Requests: Kafka Producer and Consumer Internals, Part 4 #apachekafka https://lnkd.in/ecn94VQx

Shared by Igor Souza
Building Scalable Real-Time Data Pipelines with Salesforce CDC #apachekafka https://lnkd.in/dg2igG8Z

Building Scalable Real-Time Data Pipelines with Salesforce CDC #apachekafka https://lnkd.in/dg2igG8Z

Shared by Igor Souza
Auto-rebalancing on cluster scaling #apachekafka https://lnkd.in/dYPcanZf

Auto-rebalancing on cluster scaling #apachekafka https://lnkd.in/dYPcanZf

Shared by Igor Souza
KIP-392: Fetch From Follower #apachekafka https://lnkd.in/d2Ujhg_3

KIP-392: Fetch From Follower #apachekafka https://lnkd.in/d2Ujhg_3

Shared by Igor Souza
3 data engineering trends riding Kafka, Flink, and Iceberg #apachekafka https://lnkd.in/dwXYRQ_x

3 data engineering trends riding Kafka, Flink, and Iceberg #apachekafka https://lnkd.in/dwXYRQ_x

Shared by Igor Souza

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Igor Souza

Ireland 1K followers 500+ connections

About

Activity

What The Heck is DeltaStream? #apachekafka https://lnkd.in/dNngRjmZ

Shared by Igor Souza

How to Design Event Streams, Part 2 #apachekafka https://lnkd.in/dhTWwrKF

Shared by Igor Souza

How to Design Event Streams, Part 1 #apachekafka https://lnkd.in/dZngcFeh

Shared by Igor Souza

Experience

Teckro

-

-

-

-

-

Education

Centro Federal de Educação Tecnológica de Minas Gerais

More activity by Igor

Unify Streaming and Analytical Data with Apache Iceberg®, Confluent Tableflow, and Amazon SageMaker® Lakehouse #apachekafka https://lnkd.in/d84KNwK3

Shared by Igor Souza

The Brutal Truth about Kafka Cost Calculators #apachekafka https://lnkd.in/d5QGhBAj

Shared by Igor Souza

Our first planned event for 2025 is "Goodbye Microservices, Hello Self-Contained Services". This in-person talk with Simon Martinelli is in-person at…

Liked by Igor Souza

From Kafka vendor lock-in to open-source: less costs, more flexibility, and independence #apachekafka https://lnkd.in/dvyAc7SP

Shared by Igor Souza

Guide to Setting Up Apache Kafka for Data Streaming #apachekafka https://lnkd.in/d-c7Fw-j

Shared by Igor Souza

Kafka Reduce Partitions: Why It’s Not Allowed and How to Work Around It #apachekafka https://lnkd.in/dfCDfN7H

Shared by Igor Souza

Data Streaming in Healthcare and Pharma: Use Cases and Insights from Cardinal Health #apachekafka https://lnkd.in/duS7DzPW

Shared by Igor Souza

Unify Streaming and Analytical Data with Apache Iceberg®, Confluent Tableflow, and Amazon SageMaker® Lakehouse #apachekafka https://lnkd.in/d84KNwK3

Shared by Igor Souza

Dynamic Kafka controller quorum #apachekafka https://lnkd.in/eAhCzReY

Shared by Igor Souza

How Kafka Makes Scaling Effortless #apachekafka https://lnkd.in/d82wd4Pu

Posted by Igor Souza

The Data Streaming Landscape 2025 #apachekafka https://lnkd.in/d6YFtsYH

Shared by Igor Souza

Deep Dive into Handling Consumer Fetch Requests: Kafka Producer and Consumer Internals, Part 4 #apachekafka https://lnkd.in/ecn94VQx

Shared by Igor Souza

Building Scalable Real-Time Data Pipelines with Salesforce CDC #apachekafka https://lnkd.in/dg2igG8Z

Shared by Igor Souza

Auto-rebalancing on cluster scaling #apachekafka https://lnkd.in/dYPcanZf

Shared by Igor Souza

KIP-392: Fetch From Follower #apachekafka https://lnkd.in/d2Ujhg_3

Shared by Igor Souza

3 data engineering trends riding Kafka, Flink, and Iceberg #apachekafka https://lnkd.in/dwXYRQ_x

Shared by Igor Souza

View Igor’s full profile

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Igor Souza

Ireland

1K followers 500+ connections