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antoniodimariano/README.md

Antonio Di Mariano πŸ‘‹

Sr. Software Engineer deeply interested in modern software engineering design and development principles. I am curious, open-minded, and eager to learn. I have a passion for constantly improving things.


My professional interests:

  • 🐍 Python
  • πŸ› οΈ Microservices Architecture
  • ☁️ Cloud development
  • πŸ’» Distributed system
  • 🀝 Event-Driven
  • πŸ“¨ Event streaming platform

What I like to do:

  • Design and Develop loosely coupled distributed backend applications using event streaming platforms.

  • Follow the best practices regarding code quality, testing, and code reviews.


My toolbox 🧰

  • Python ( FastAPI)
  • Apache Kafka
  • Celery
  • Redis
  • MongoDB
  • PostgreSQL
  • Docker
  • K8s
  • Github
  • AWS

And also ...

  • πŸ„β€β™‚οΈ I love surfing 🌊

  • πŸ₯ I'm a Drummer.

  • πŸŒ‹ 🍊 πŸ–οΈ I'm a Sicilian through and through.

  • πŸ”­ I’m currently working on a bunch of personal projects.

Pinned

  1. celery_periodic_tasks celery_periodic_tasks Public

    A simple example of how to use Celery to schedule periodic tasks. It uses Redis as message broker.

    Python 8 4

  2. airbnb_booking_prediction- airbnb_booking_prediction- Public

    Challenge 04 AirBnb New User Booking -

    Python

  3. confluent_kafka_producers_wrapper confluent_kafka_producers_wrapper Public

    This module provides a wrapper around the confluent-kafka-python to simplify the creation and usage of producers by hiding the configuration details. In particular, when it comes to using a schema …

    Python

  4. kaggle_house_price_prediction kaggle_house_price_prediction Public

    AI Learning Program Challenge 03 : Houses' price prediction using kaggle dataset

    Python

  5. metrics_consumer metrics_consumer Public

    A small distributed application that aims to produce and collect metrics about the availability of one or more websites.

    Python

  6. crontab_request crontab_request Public

    This services runs a crontab task that periodically sends a POST request to the remote service specified in the ENV variable websites_checker_service_url

    Python