Apis, Data Warehousing, Azure Databricks, Data Governance, Copilot scenarios, OneLake, data grounding, intelligent applications, real-time analytics, Azure OpenAI, Azure AI Foundry, Azure databases, responsible AI, Microsoft Purview, RAG, metadata lineage, Microsoft Fabric, semantic search

snowflake , Gcp, Apis, Cloud Storage, Databricks, Python, Sql, AWS, modern data stacks

data engineering , Denodo, Hadoop, Tableau, AI ML, Data Visualization, Spark, Cloudera, Databricks, Azure, Talend, AWS, H2O, RunAI, data lakes, Data Analytics Platforms

Git, Data Governance, Sql, Python, Lineage Policy-as-Code, Access Models, Data Quality Management, Data Catalogues, Master Data Management, Data Contracts

technology risk , Data Governance, Data Lineage, Data quality controls, Data governance practices, Model explainability and fairness concepts, Access controls, Compliance operational risk, Retention, Data catalogs, Privacy-enhancing techniques

programme governance , Data Analytics, Transformation, Proposal Development, Stakeholder Management, Ai, programme delivery, Consulting

snowflake , Power Bi, Data Architecture, Tableau, Azure Synapse, Databricks, Digital Transformation, agentic AI, AI use case prioritization, data platforms, ML deployment, data AI, platform selection

messaging platforms , Java J2ee, Kafka, Spring Boot, Microservices, MLops, Enterprise Integration, Data Lake, Distributed Systems, Databricks, Restful Apis, Azure, AWS, Generative AI, Vector databases, Unity Catalog, Delta Lake, AI APIs, Lakehouse architecture, AI orchestration, Event-driven architectures

Certified ScrumMaster (CSM), Professional Scrum Master (PSM), Confluence, Microsoft Office, Jira, MLops, Prince2 Practitioner, data pipelines, Microsoft Teams, Google Cloud AI, model training and evaluation, large language models, Microsoft Copilot, AWS Machine Learning, ChatGPT Enterprise, Microsoft Azure AI, generative AI, retrieval-augmented generation, prompt engineering, AI delivery concepts, GitHub Copilot, Pmp, data readiness, Scrum methodologies, PMI-ACP

Microsoft Purview), Data catalogues (e.g. DataHub, Sql, Python, Agentic AI governance, Generative AI exposure, Data contracts and lineage, Responsible-AI programmes, Data quality frameworks, Policy-as-code, AI governance, Model risk management, Access models, Git pull-request-based delivery, Master Data Management