Python Programming, Data Modelling, Data Engineering and Ontology, Relational Databases, Data integration and complex data workflows, Triple store database concepts

Python, Sql, R, classification and regression, ML algorithm performance, analytics pipelines, machine learning models

data engineering , process mining , SAP, Power Bi, Data Mining, Tableau, Informatica, Sql, Talend, Data Analytics, Oracle, aris, ETL applications, Action Engine Automation, Process Mining tools, PQL, Mavim, Process Analytics, Celonis, QPR, Signavio, Event Collection, BI Visualization tools

Networking, PowerShell, Veeam, Dns, DHCP, Ansible, Commvault, Microsoft Azure, Azure, Python, Virtualization, Azure DevOps, Active Directory, Data Protection Engineering, Rubrik, Azure CLI

data engineering , Data Quality, Data Modelling, Data management lifecycle, Ai, Agentic capabilities

graph databases , Kafka, Data Governance, Metadata Management, Coding Skills, Spark, Execution traceability, Semantic retrieval, Git workflows, Enterprise data architecture, Streaming architecture, Vector databases, Contextual intelligence, AI-assisted metadata enrichment, Cloud-native data engineering, Modern DevOps, Lineage architecture, Domain-driven architecture, Ephemeral persistent storage architectures, Ontology semantic modeling, MDM entity resolution

containerization , Machine Learning, T-sql, Pyspark, Python, Hadoop, Sql, Big Data Technologies, MLops, Spark, Databricks, AWS Bedrock, HuggingFace, Responsible AI practices, GitHub Actions, OpenAI APIs, Large Language Models, LangChain, Generative AI, Azure cloud ecosystem, Azure ML Studio, LLM security, Azure Foundry, CI-CD

snowflake , Data Modeling, Kafka, Nosql, Kinesis, Terraform, Data Architecture, Data Governance, AWS, Cloudformation, Sql, Gcp, MLops, Databricks, Azure, Compliance, MLflow, Security, Pub Sub, Cloud Platforms, Kubeflow, RAG pipelines, LangChain, Ai