distributed storage , data warehouses , Sql, ELT, Python, Etl, orchestration frameworks, data pipelines, LLMs, modern data frameworks or libraries, cloud platforms, generative AI concepts, workflow schedulers, model evaluation workflows, RAG architectures

Java, Golang, C++, CSS, Data structures, Apache Spark, HTML, Algorithms, Typescript, Javascript, Python, Apache Hive, Accessibility design, Enterprise Data Warehouse

Cloud Technologies, Slas, Incident Management, Version Control, Databricks, Release management, Service management principles, DevOps practices, Change Control, Azure Kubernetes, Software development deployment and testing practices, CI/CD, Monitoring and operational tooling, Cloud cost optimisation

Data Analytics, Software Engineering, AI-enabled tools, Organizational Effectiveness, Workforce Planning, organizational design, talent strategy, Succession Planning, product management, data and AI platform, Leadership Development, research environments, workforce modeling

data streaming , Hadoop, Apache Spark, Etl Tools, Big Data Technologies, Data Warehousing Concepts, Data Architecture, Sql, Data visualization tools, Data pipeline orchestration, Monitoring

Devops, Cloud Data Warehouse technologies, Data Lakes, Scrum techniques, Big Data systems, Agile practices, Data Movement Technologies, Google Cloud Storage, Analytics

Power Bi, Tableau, Python, R, Data Analysis, BI and data visualization tools, Statistical Knowledge, data models, Looker