I could include a long list of keywords here of different languages and technologies. However, through the years as a programmer, system administrator, application analyst, data scientist, its safe to say I worked with more technologies than I'd be able to recall.
My first HTML was written in middle school. Then came college and C++, but I credit my first paid programming way back with early era of PHP and ColdFusion. As web languages matured I grew with them through the use of version control and package managers in the funnest languages such as NodeJs, Python, R, PHP, and frontend javascript. I came to the conclusion that once you have a foundation of programming, adding other languages to the toolbox is simply part of the job.
All the while, I worked directly with SQL as both an administrator and developer in nearly all household name databases and a a little NoSQL here and there. Then around 2019 came a bit of a change of gears to take on data science, where I have brought together all of these experiences into one. I refreshed how I think about problems, learned how to solve programming problems like math problems, such as using numpy to solve problems with linear algebra.