Python
My "native" programming language, I've worked with it for over 5 years. I've used it for
building web apps, performing data analysis, scraping websites, developing ETL
pipelines, building Machine Learning and Deep Learning models, creating application
tests suites and building CI/CD pipelines. I use Pandas, Numpy, Pytest libraries on my
day to day work.
Database
I have used relational DBs for over 5 years along with Python while building Data Apps.
I primarily use PostgreSQL for general-purpose use cases and have been using Redshift
for data warehouse purpose. I have also used Redis, MongoDB and ElasticSearch for some
projects.
DevOps/MLOps
I have deployed web apps, setup DBs, built data pipelines in different environments. I
have built various CI/CD & MLOps pipelines with Gitlab, Bitbucket and GitHub. I have
also deployed applications using Helm and Kubernetes.
Others
I have been using D3 and JS for Data Visualisation. Occasionally use PowerBI as well for
visualizations. Also, I have learned and tried my hands on Machine Learning, Deep
Learning, PySpark and Hadoop.
