data engineering , Ml, Power Bi, Tableau, Data Extraction, MLops, Databricks, Microsoft Azure, agentic AI, LLMOps, data product delivery, Reconciliation, Transformation, Analytics, validation techniques, AI solution delivery, Microsoft Copilot, cloud data platforms, cloud-native architectures, applied AI

Perl, Bash, Python, Linux operating systems, cluster management software, job schedulers, parallel file systems, high-performance computing hardware, HPC technologies

data engineering , Power Bi, Ml, Databricks, Tableau, Microsoft Azure, cloud data platforms, Analytics, Microsoft Copilot, applied AI, agentic AI solutions, AI solution delivery

Mqtt, Angularjs, Kafka, Amqp, Https, Javascript, Confluence, Postgres, Scrum, Flutter, Coap, Agile Methodologies, Node.js, Http, Kotlin, Jira, Mssql, Jms, Reactjs, React Native, Devops Tools, Swift, Kubernetes, WebSockets, AI-related technologies, GIS technologies, Kanban, BACnet, Modbus, OPC UA

Spark SQL, Hadoop Ecosystem, Pyspark, Data Modeling, Sql, Gcp, Azure, Python, AWS, Data Lakes, ETL ELT frameworks, DevOps practices, Lakehouse architectures, CI CD, Performance tuning and optimisation, Data migration strategies, Distributed data processing frameworks, Data integration patterns, Real-time processing

Java, Oracle, Python, Generative AI, LLMs, RAG, AI agents, vector databases, MCP, prompt engineering

Ccsp, Cloud Computing, Windows System Administration, Microsoft Azure, It Project Management, Cissp, cybersecurity principles

ARM templates, Terraform, Cloudformation, Azure, Python, AWS

AWS, S3, Dns, Vpc, Iam, Ec2, Security, Monitoring

Ant, UNIX, Linux, Perl, Python, Tcl, LPE, Calibre ICV, LVS, Esd, ERC, C-shell, DRC