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Ismail Dawoodjee's Projects

automate-ec2-spinup icon automate-ec2-spinup

Bash scripts that automatically spin up an EC2 instance, build a Docker image, and deploy a containerized Flask application on EC2, viewable via the Internet.

aws-data-pipeline icon aws-data-pipeline

A batch processing data pipeline, using AWS resources (S3, EMR, Redshift, EC2, IAM), provisioned via Terraform, and orchestrated from locally hosted Airflow containers. The end product is a Superset dashboard and a Postgres database, hosted on an EC2 instance at this address (powered down):

data-engineering-task icon data-engineering-task

A small data engineering project to extract cryptocurrency data from CoinGecko's public API using Python, package the script as a Docker image, and deploy it on a Windows machine.

dsainjava icon dsainjava

Collated reference for data structures and algorithms

forecasting-satellite-trajectories icon forecasting-satellite-trajectories

This repository contains details about my approach to forecasting satellite trajectories for Part A of the International Data Analytics Olympiad 2020 in January-February 2020.

greatex icon greatex

A project for exploring how Great Expectations can be used to ensure data quality and validate batches within a data pipeline defined in Airflow.

grpcui icon grpcui

An interactive web UI for gRPC, along the lines of postman

learning-docker icon learning-docker

Repository for me to learn about Docker, carry out projects in it, and to use as a future reference in data engineering projects.

learning-neural-networks icon learning-neural-networks

Some notebooks that I wrote back in December 2018 when trying to learn the mathematical theory behind artificial neural networks

nifi-data-pipeline icon nifi-data-pipeline

:package: Containerizing everything from the book "Data Engineering with Python"

nocodb icon nocodb

🔥 🔥 The Open Source Airtable alternative - Powered by Vue.js 🚀 🚀

product-catalogue icon product-catalogue

Web scraping task to obtain industrial equipment data and produce a product catalogue out of it. From this page:

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