User Acceptance Testing (UAT), Requirements Traceability, Jira, Balsamiq, Requirements Engineering, Confluence, Problem Solving, Process Improvement Optimization, Business Need Analysis, Regulatory Responsible Technology Awareness, Design Thinking, AI-enabled Solutions, Communication Facilitation, Microsoft Visio, Solution Collaboration, Lucidchart, Business Value Benefits Measurement, Complex Stakeholder Facilitation, Gaming Domain Knowledge, Stakeholder Management, Gaming Data Literacy

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

data engineering , Data Governance, Data Analytics, AWS, Ai Development, Project Management, Project Tenders, AI Automation, IT Budget for IT Infrastructure, Vendor Management

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

data quality assurance , Technical Leadership, Data Architecture, Databricks, Data Warehousing, Computer Engineering, Business Requirements Mapping, Computer Science, support material, Multi-Vendor Environment, Development of Prototypes, Apache Atlas, Education, data infrastructure, Analytics Tools, Azure AI

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

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

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