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  • šŸ‘‹ Hi, Iā€™m @janaom, Google Cloud ACE, working with Google Cloud services, Airflow, Ansible etc.
  • šŸ‘€ Iā€™m interested in Cloud/Data Engineering
  • šŸŒ± Iā€™m currently learning GCP | Kubernetes | Apache Beam
  • šŸ’žļø Iā€™m looking to collaborate on Cloud/Data Engineering tasks.
  • šŸ“« How to reach me LinkedIn

janaom's Projects

airflow icon airflow

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

apache-beam-practice icon apache-beam-practice

It's time to learn Beam! This repository contains a collection of tasks and exercises focused on Apache Beam.

devops-exercises icon devops-exercises

Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions

devops-in-the-cloud icon devops-in-the-cloud

Official Repository for the Devops in the Cloud with Terraform, Ansible, and Jenkins Course Code

example-voting-app icon example-voting-app

Example distributed app composed of multiple containers for Docker, Compose, Swarm, and Kubernetes

gcp-data-engineering-etl-with-composer-dataflow icon gcp-data-engineering-etl-with-composer-dataflow

This project leverages GCS, Composer, Dataflow, BigQuery, and Looker on Google Cloud Platform (GCP) to build a robust data engineering solution for processing, storing, and reporting daily transaction data in the online food delivery industry.

gcp-de-project-connect-four-with-python-dataflow icon gcp-de-project-connect-four-with-python-dataflow

Connect Four Data Engineering Project: leveraging GCS for scalable and durable storage, Dataflow for data extraction and transformation, BigQuery as the data repository, Slack Integration for real-time sharing, Looker for insightful reports and visualizations, and Email Scheduler for automated report delivery.

gcp-de-project-streaming-pubsub-beam-dataflow icon gcp-de-project-streaming-pubsub-beam-dataflow

This project demonstrates an end-to-end solution for processing and analyzing real-time conversations data from a JSON file using GCP services and infrastructure automation, showcasing data storage, streaming, processing, and analysis at scale.

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