Cloud Technologies, Azure, Google Cloud, AWS, Data AI, Agile Delivery Models, SaaS Platforms, Mainframe Modernization, API-led Integration, Ai, Microservices Architectures

Data science platform tools e.g. MS Azure GCP Databricks, Machine Learning, Statistical Modelling, Python coding, Forecasting, Application of Generative AI LLMs RAG, Concepts in responsible and ethical AI, Optimisation techniques and tools, Effective use of modern development tools co-pilots, Agentic AI development architecture patterns

Amazon Web Services, PostgreSQL, HTML, Angular, Nosql, React, Javascript, Docker, MySQL, Ping, Cyberark, Python, Java, full stack development, CSS, Node.js, Sql, Okta, Vue.JS, Git, Kubernetes, front-end programming, RSA SecureID, SCIM 2.0, Active Directory

data engineering , Data Management, cloud, Data Security, Data Warehousing, Big Data, analytics applications, Governance

Gcp, Sql, Python, AWS, open-source measurement tools, AI Agents, MMM attribution, Bayesian Methods, Google Meridian, incrementality solutions

cloud security, Data Protection, Okta, Gcp, Application Security, Iam, Siem, PAM, Azure, Python, AWS, SOAR, vulnerability scanners, Pim, EDR, Tines, Entra