data engineering , Apis, Agile Development Methodologies, Microservices, System integration, MLops, Microsoft Azure, AWS, Agentic AI orchestration, Prompt engineering, DevOps practices, Vector databases, AWS Developer CLI, Cloud-native architectures, Agentic AI-based solutions, Continuous integration for AI models, Real-time data processing, Fine-tuning LLMs

.NET, C#, Performance Tuning, Workflows, Tableau, Sql, OBIEE, Data Integration, Rest Apis, Business Rules, Microsoft Office Tools, SOX and ITGC controls, Data transformations, Quick Views, Oracle Erp, Snowflake data warehouse, Troubleshooting, Reconciliation, Cube Views, XF reports, System security and configurations, OneStream software

Servicenow, Service Cloud, Sales Cloud, Salesforce Certified Administrator, Salesforce Data Cloud, Integration failures, Flow issues, Troubleshooting Apex errors, Support tools like Jira

Servicenow, S3, Aws Services, Cloudformation, Dynamodb, Slas, JIRA, Lambda, Cloudwatch, Terraform, Incident Management, Iam, Qliksense, Devops Tools, AWS Connect, SLIs, Infrastructure as Code, Codefresh, monitoring and alerting, GitHub Actions, SLOs, SRE principles, observability

Devops, Power Bi, Tableau, Scrum, Jira, Ai, Kanban

Pricing configuration and optimization in Salesforce CPQ, Advanced approvals workflow automation in Salesforce CPQ, CPQ RCA development expertise, Quote template design and management in Salesforce CPQ, Contracts and renewals management within Salesforce CPQ, Salesforce CPQ configuration and customization, Apex programming for custom scripts and automation, Multi-dimensional quoting setup in Salesforce CPQ, Performance tuning and scalability for CPQ solutions, Salesforce data models and integration, Agile methodologies in Salesforce project delivery, Third-party integrations with Salesforce CPQ, Salesforce REST and SOAP APIs, Salesforce Lightning components