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.
These days most of my work is working with Python to build AI systems that live between containerized apps within Azure ACA to Databricks workflows with DLT and pyspark.