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

object storage , Storage Systems, API design, Docker, Distributed Systems, Infrastructure Services, Kubernetes, developer platforms, Harbor, NoSQL databases, cloud platforms, event streaming, service-to-service authentication, artifact registry systems, Caching, ECR, GCR, GAR, Docker Hub, observability

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

Gcp, storage technologies, Azure, AWS, Entra ID, Security Protocols, Xchange online, M365 architecture, Teams

data engineering , snowflake , AI ML, Sql, Deep Learning, Azure Synapse, Data Science, Spark, Databricks, Python, Generative AI, data quality governance, Analytics, Agentic AI, enterprise data integration, LLM-based applications, Microsoft Fabric

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

google sheets , Powerbi, Tableau, Excel, Python, Sql