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Apache Kafka

ASP.NET core +SQL server+Redis+Kafka as a Message Broker (for Saga and Outbox).

the latest Docker image:https://hub.docker.com/r/ahtat204/order-service

Core data sync engine implementing event-driven processing, rule-based normalization, conflict resolution and audit-ready deterministic pipelines.

Go Payment Service with Postgres ,Redis for idempotency .The latest Docker Image is on Dockerhub: https://hub.docker.com/r/ahtat204/payment-service

A containerized backend system demonstrating asynchronous order processing, caching, and load balancing across multiple NestJS instances.

Core data sync engine implementing event-driven processing, rule-based normalization, conflict resolution and audit-ready deterministic pipelines.

Spring Boot +MongoDB+Kafka (Centralized Message Broker for Saga and Outbox(Inbox ,from this perspective, to be Precise) the latest Docker image : https://hub.docker.com/r/ahtat204/inventory-service

Kotlin/Java 21 trading wallet on Spring Boot (Web MVC, Security JWT, Data JPA/Hibernate, Bean Validation). Reserves funds under a row lock, rejects stale order edits, and publishes order events through a transactional outbox. Duplicate retries stay idempotent. PostgreSQL, Flyway, Redis, Kafka. Tests: JUnit 5, MockK, Google Truth, Testcontainers.

Key platform data integrations repo

Projeto que simula um ecommerce utilizado para estudos utilizando o Apache Kafka.

Real-time fraud detection system using PySpark Structured Streaming, Kafka, watermarks, windowing, and Delta Lake.

Real-Time Analytics using Apache Pinot and Apache Druid...

In real time inference simulator using the MVTec dataset, aproach via DINOv2 and Claude Sonnet 3.5 (Amazon Bedrock's API)

Accident Management Service: Emergency Service Module

accident-event-stream

Accident Management Service: Fire Rescue Service Module

Accident Management Service: Law-enforcement service

Accident Management Service: Statistics Service Module

A Project based around a simulated music streaming app (Spotify for example) generating live user events, to practice handling real time streaming of large amounts of data.