I've been coding in python for more than 8 years as my main coding language for various projects like data wrangling, data science and web scraping. I have using Golang for over a year in building Micro-Services and automation. I've also used also Java and C++ for mission-critical projects like data ingestion pipelines and building blockchain smart contracts.

Apache Airflow is my favourite python framework when it comes to building a complex and highly scalable data ingestion pipelines. I also use Oozie when I work on yarn and Hadoop clusters and sometimes I use Talend for some traditional ETL BI needs.

When it comes to manipulating a large amount of data, Spark is well suited to this kind of task. I have used this toolset for various mission-critical and Petabyte-Scale data projects.

I have used relational databases for different projects, wheater as a backend for web apps and APIs or multidimensional data warehouses. I have also used apache Hive to build data warehouses on top of HDFS clusters.

I have used multiples NoSql databases as well as Graph Databases for different projects. whether as a backend for applications or in data ingestion pipelines and analytical purposes.

I use Jenkins as my primary CICD tool for basically every project I work on, including this website. The same thing applies for Docker and Kubernetes, it's been more than 3 years, this stack has become my daily work routine.

I have worked with different dashboarding tools, depending on the usecase, I have used Prometheus and Grafana mainly for system and application monitoring, and Tableau, QlikSense for reporting purposes.

Frontend development is not my strongest suit!! However, I worked with web technologies on several projects.