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Hey šŸ‘‹, I'm Jay

I'm currently a data engineer at air up GmbH and formerly at TO THE NEW based in šŸŒ Munich.

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āš”ļø A Few Quick Facts

  • šŸ”­ Iā€™m currently working on PySpark, AWS Glue, Airflow, Redshift
  • šŸ§ Learning about serverless architectures, Big Data, and a bit of Terraform.
  • šŸ‘Øā€šŸ’» Most of my projects are available on Github.
  • šŸ’¬ Ping me about big data, security, and cloud stuff.
  • šŸ“™ Check out my resume.
  • šŸŽ‰ Fun Fact: Cooking is my stress buster!

šŸš€ Some Tools I Use

python AWS Glue PySpark Airflow PyCharm Docker Java React Redshift MySQL Spring Boot Heroku AWS Terraform Javascript

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Jitender Saini's Projects

atom icon atom

:atom: The hackable text editor

cmatrix icon cmatrix

Terminal based "The Matrix" like implementation

cookbook icon cookbook

A repository of machine learning codes written for re-usability

dagster icon dagster

An orchestration platform for the development, production, and observation of data assets.

datahub icon datahub

The Metadata Platform for the Modern Data Stack

dear-github-2.0 icon dear-github-2.0

šŸ“Ø An open letter to GitHub from the maintainers of open source projects

explore-us-bikeshare-data icon explore-us-bikeshare-data

In this project, I will make use of Python to explore data related to bikeshare systems for three major bikeshare systems in the United States. Perform data wrangling to unify the format of data from the three systems and write code to compute descriptive statistics.

gitfiti icon gitfiti

abusing github commit history for the lulz

kaggle_bulldozers_project icon kaggle_bulldozers_project

The goal of this project is to predict the sale price of a particular piece of heavy equipment at auction based on it's usage, equipment type, and configuration. The data is sourced from auction result postings and includes information on usage and equipment configurations. Fast Iron is creating a "blue book for bulldozers," for customers to value what their heavy equipment fleet is worth at auction.

kaggle_titanic icon kaggle_titanic

The sinking of the RMS Titanic is one of the most infamous shipwrecks in history. On April 15, 1912, during her maiden voyage, the Titanic sank after colliding with an iceberg, killing 1502 out of 2224 passengers and crew. This sensational tragedy shocked the international community and led to better safety regulations for ships. One of the reasons that the shipwreck led to such loss of life was that there were not enough lifeboats for the passengers and crew. Although there was some element of luck involved in surviving the sinking, some groups of people were more likely to survive than others, such as women, children, and the upper-class.

link-sharing icon link-sharing

Link Sharing Application is a way of sharing knowledge. It is an online forum where user can create new topic may that be private or public. On that topic subscribed user can add references and links to share knowledge.

linksharing icon linksharing

Link Sharing Application is a way of sharing knowledge. It is an online forum where user can create new topic may that be private or public. On that topic subscribed user can add references and links to share knowledge.

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