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Hello šŸ‘‹

Hey!! Ademola Ayobami Tijani is a Software Engineer || Cloud DevOps Engineer and a fan of anything Big data.

Here are some ideas to get you started:

  • šŸ”­ Iā€™m currently working with: Python(Django, Flaks, FastApi), DevOps infrastructure tools: AWS, Kubernetes, Terraform, Ci/Cd Automation (Too much to mention here)
  • šŸŒ± Iā€™m currently learning: "Always learning but AZURE to be precise"
  • šŸ‘Æ Getting better at: "so many things"
  • šŸ’¬ Ask me about ...Python, Django, Flask, FastApi, Javascript, Php, DevOps- Aws(And its services), GCP, Terraform, Kubernetes, CI/CD Jenkins, Travis, GitladCi/Cd, and Data Engineering,
  • šŸ“« How to reach me: [email protected]

My stacks:

{

  • "LANGUAGES": ["Python", "Javascript"],
  • "FRAMEWORKS/libraries": {
  • "BACKEND": ["Django", "Django Rest Framework", "Flask", "FastApi", "NodeJS", "Laravel"],
  • CLOUD ARCHITECTURE : ["Aws", "Gcp", "Heroku", "Deployment", "Monitoring and Logging", "Data Migration"]
  • DEVOPS tool: ["Aws services" and "Aws Serverless","Terraform", "Kubernetes", "Ci/Cd", "Grafana", "Datadog", "S#", "Load Balancing", "S3","LinuxScripting", "Cloud Watch"]
  • "DATA SCIENCE": ["ETL", "data warehouse", "scikit-learn", "Airflow", "Pandas/Numpy" "Seaborn/Matplotlib", "LLM", "Open-ai"],
  • "others": ["HTML5", "CSS3"] },
  • "DATABASES": ["Mysql", "PostgreSQL", "Nosql", "MongoDb", "DynamoDb"],
  • "misc": ["Docker", "Redis" "Celery", "RabbitMQ", "Unit Testing",],
  • "tools": ["Visual Studio Code" "jupyter-notebook"] }

Ademola Ayobami Tijani's Projects

awesome-python icon awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

coding-challenge icon coding-challenge

This repository contains a task, which I implemented as a coding challenge for the interview.

dev_camper icon dev_camper

Dev Bootcamp APIs using Django. Awaiting front end consumption

devops_projects icon devops_projects

DAREY.IO Project Based Learning šŸ’„šŸ§‘ā€šŸ’»šŸ’¹

faker icon faker

Faker is a Python package that generates fake data for you.

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