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Improving Dev Experience on Real Time Analytics based on Kafka & Apache Beam
🎯
Improving Dev Experience on Real Time Analytics based on Kafka & Apache Beam
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Achievement: Pair ExtraordinaireAchievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLO
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gpazevedo/README.md

Hi there 👋

  • 🔭 I'm currently Improving Developer Experience in Event-Driven Systems & Real Time Analytics based on GCP, CDC, Flink, Kafka & Apache Beam
  • 🌱 I’ve worked on Reactive Microservices, Quarkus & Kotlin Developed, Kafka & K8s Served at AWS
  • 💻 Playing with Helidon 4, Kotlin & Spring Boot, Redoc, K6
  • 👯 I’m looking to collaborate on Apache Beam & Kafka Open Source Projects
  • 🤔 I’m looking for Disruptive Streaming Analytics Use Cases
  • 🚀 I'm experimenting with Event Modelling and AsyncAPI
  • 💬 Ask me about Software Architecture, Serverless, DDD, Data Mesh, CDC & Event-Driven Architecture
  • 📫 How to reach me: https://www.linkedin.com/in/gpazevedo/
  • ⚡ Fun fact: I feel like "I'm Back to School !"

Kafka Ingestor

Contract-based production of Avro events from a JSON payload to a Kafka Topic. Service converts a JSON payload to Avro payload based on a verified schema and publishes it to a Kafka topic, using Outbox Pattern

Side Kafka

Sidecar that converts a JSON payload to Avro payload based on a verified schema and publishes it to a Kafka topic

Kafka DLQ on Apache Beam Kafka Dead Letter Queue on Apache Beam

Goals Service Goals Service

Event Modelling Hotel Event Modelling

CQRS Syncronous Bank API

ETL Hexagonal
Shop Accounting

Pinned

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    Advent of Code 2020: Solutions in Kotlin

    Kotlin 1

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    JavaScript 2

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    A ticking console clock. Composing functions in JS.

    JavaScript

  4. JS-Codility JS-Codility Public

    JavaScript

  5. JS-QuickExercises JS-QuickExercises Public

    JavaScript