data engineering , Java, Ml, Automated Testing, Sdlc, Nosql, Rest, Databricks, Scrum, Sap Ibp, Python, AWS, Agentic tools, Blue Yonder, Ai, O9, Kinaxis, Analytics, Relational Databases, agile principles

.NET, Java, Mainframe, Devops, Cloud, Frontend, Testing, Python, Database, GenAI-assisted development, Applied AI in facilitation and assessment, Backend, AI-enabled learning tools

Wireless, Servicenow, Amdocs, Vlans, KPI, TAT, Excel data analysis, Network fundamentals, Mpls, First-time-right activation, Order Management, automation mindset, Fallout rate, Rework reduction, dia, Inventory systems exposure, Validation, Telecom products, bandwidth, Ip, routing concepts, Reconciliation, network configurations, Provisioning systems, Agentic AI, Netcracker, workflow improvement, activation workflows, Voice, Order cycle time, SD-WAN

Itsm, Itil V3, Vulnerability Management, Azure, AWS, Knowledge Management, Jira Service Management

data engineering , retail media , Data Analytics, Power Bi, Tableau, Sql, Databricks, Google Analytics, Azure, ecommerce technologies, business analytics, digital shelf analytics, Digital Commerce

Payroll processing in SAP HCM, HCM ECP Module, Interface implementations, Agile Scrum processes, Payroll control center, Positive Time Management, Schema PCR, Employee Central Payroll, Payroll application configuration

snowflake , AWS, Python, Azure, Gcp, Machine Learning, MLops, Statistical Techniques, Data Visualization Tools, GenAI, AI Solutions

technology governance , Gdpr, Metadata Management, Workday, Data Quality, Data Analytics, Machine Learning Governance, Workday Prism, Ai, Analytics Platforms, Automation Technologies, Data Governance Frameworks, EU AI Act, Responsible AI