Linux
Jenkins
Azure DevOps
Data Bricks
Snowflake
Apache Airflow
SQL
Azure
Python
AWS
Kafka
Docker
Kubernetes
DBT
AWS DevOps focuses on implementing DevOps practices using Amazon Web Services, including CI/CD pipelines, infrastructure as code, monitoring, and automation
Azure DevOps enables teams to plan, build, test, and deploy applications using Microsoft Azure tools such as Azure Repos, Pipelines, Boards, and Artifacts
Data Engineering involves designing, building, and maintaining data pipelines and architectures to process, store, and analyze large-scale data efficiently.
AI/ML Engineering focuses on building intelligent systems using machine learning algorithms, data modeling, deep learning, and deploying AI solutions at scale.
