Backend Development: Go (Gin framework), Python (Django framework), Java (JavaEE, JSF), .NET , Integration of AI/ML Libraries: Utilize libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn for implementing machine learning models directly within backend services.
Frontend Development: HTML/CSS (Bootstrap), JavaScript (React.js, Node.js, Chart.js)
Messaging: RabbitMQ, Celery, Apache Kafka Containerization: Docker, Kubernetes Cloud: AWS, GCP
Data Analytics: Excel, PowerBI, TableauDatabases: SQL, PL/SQL, MySQL, Oracle, ETL/ELT, Microsoft SQL
Development/ Deployment Tools: Jenkins, GIT, Eclipse, VS Code, Sublime, PyCharm,JIRA, confluence, Analytics product suite, data modeling, Peoplesoft, Enterprise Resource Planning
Web Technologies: Web 2.0, AJAX, WebSockets, Material UI, RESTful API,
Monitoring Tools: Splunk, Py-spy, Grafana, Prometheus,
Environment: Unix, Linux, WIndows, Mac Testing Framework: Mocha, Jasmine, Pytest