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paulonye/README.md

Hi there, I'm Paul -👋

I am a Data Engineer with good experience in Cloud Computing and Building ELT/ETL Pipelines. I love working on end-to-end data projects, orchestrating workflows, and building sustainable data pipelines.

I am well-versed in utilizing Cloud Computing Resources. I have worked with and know how to utilize Google Cloud and AWS resources. I have a special inkling for spinning up and carrying out my workloads on virtual machines in the Cloud.

My Series on Building Data Applications with Google Cloud

Project 1 Project 2
Project 1 Project 2
Project 3 Project 4
Project 3 Project 4
Project 5 Project 6
Project 5 Project 6

Checkout My Medium articles

📘 Optimizing Google Cloud Infrastructure for Data Engineering

📘 Building an ETL Pipeline Using Google Service Accounts

📘 Deployment of Contanarized Data Application on Google Cloud Run

📘 Configuration of a Postgres Database on Google Cloud

📘 Batching Web Data into a Postgres Database hosted on Google Cloud

📘 Orchestrating Data Pipelines with Prefect on GCP Infrastructure

📘 Serverless Deployment of a Prefect Data Pipeline on Google Cloud Run

Connect with Me

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📫 You can aslo reach me via Email

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  1. Smart_Sheet Smart_Sheet Public

    In this project, google service account will act as enablers and connectors used to build a google smart sheet

    Python 2

  2. Cloudrunjobs Cloudrunjobs Public

    This repo contains the code used to generate docker images for my Google Cloud Run Jobs.

    Python 3

  3. de_zoomcamp de_zoomcamp Public

    This repo tracks my records for the Data Engineering Zoomcamp Training Course

    Jupyter Notebook

  4. DockerXPostgres DockerXPostgres Public

    In this project, a postgres cloudsql is set up and connected to a docker pgadmin container. Scraped data is written into the database, and accessed via local machine and remote host

    Python

  5. paulonye paulonye Public

  6. prefect_gcp prefect_gcp Public

    This Repo tracks my project on building prefect pipelines on GCP Infraustructure

    Python