The Right Tool for the job they say!

Here is a list of tools which has mostly made my associates and me happy on my Data Engineering and software journey, take a look if you’re considering to hire me:-)

Shell’s:

• Bash
• Zsh combined with the almighty Oh My ZSH and autocompletions to always ⇥ the right options one step further.

Text Editors & IDE’s:

• PyCharm

• DataGrip

• IntelliJ

• Vim

• Sublime Text

Version Control:

One can only Git with quality origins from:

• Github
• GitLab
• Bitbucket

And when the workflow (or rather lack of it) mysteries occur ¯_(ツ)_/¯, one might need to use:

• gitk or git-gui
• or GitHub Desktop

Linter’s:

• PyLint
• ShellCheck

Infrastructure:

• AWS or GCP accompanied with their awesome cli’s aws & gsutil
• Terraform
• Ansible
• Docker && Kubernetes

Workflow Management

• Crontab just had to be mentioned for the sake of tribute &history
• Apache Airflow

Continuous Deployment

• Jenkins
• circleci

Package managers

• Homebrew
• Apt

Static Site Generator

• Hugo (Obviously;)
• Have tried jekyll, but Hugo goes the extra mile with content organisation and it’s just too fast for everyone.

Data Visualisation:

Although this is my strong domain I have to mention these two open source enterprise ready beasts here:

• Apache Superset
• Metabase

as well as:

• Matplotlib

Diagrams

• draw.io has a plethora of shapes to picture all things digital/cloud/software/processes/UML and more, also they’ve released an awesome desktop app.
• & Icons

Miscellaneous project goodies:

• One cannot go about without mentioning Atlassian and their almighty Jira and Confluence
• Ohhh just Slack me please whenever there is something I should know, and quality alerting before anyone else or the panic spreads