p
paramatma_sar

Panagiotis G

@paramatma_sar

Cloud Engineer Big Data Infra Engineer

Austria
Inglese
Alcune informazioni sono riportate in lingua inglese.
Chi sono
I am a fast and analytical problem solver, working precisely and efficiently in all situations. I think outside the box and cross-divisionally with constant quality awareness. I possess valuable team-leading and practical skills in cloud engineering, big data infrastructure, project management, DevOps, and automation.... Continua a leggere

Competenze

p
paramatma_sar
Panagiotis G
offline • 

Consulta i miei servizi

Automazione social media
I will build an automated ai social media content pipeline
A partire da205 USD / progettoMaggiori dettagli

Portfolio

Esperienza lavorativa

UNIQA

Senior Azure Cloud Engineer / Big Data Infrastructure & Operations Lead

UNIQA • Full time

Dec 2019 - Present • 6 yrs 10 mos

Leadership & Technical Management • Technical Leadership for Cloud Operations & Big Data Teams: Responsible for staff development, capacity planning, resource allocation, and operational provisioning across multi-cloud and on-premise environments. • Leading Migration & Transformation Initiatives: Strategic design, planning, and execution of cloud migrations from legacy Hadoop/Cloudera pipelines to modern Azure Databricks architectures. • Change Advisory Board (CAB) & Governance: Active CAB member evaluating risk for critical production releases; streamlined ServiceNow change management lifecycles to minimize downtime and maintain regulatory compliance (IFRS 17). • Project & Knowledge Management: Technical coordination of cross-functional data engineering initiatives using Jira and Confluence with an emphasis on high-quality documentation and knowledge transfers. Azure Cloud Architecture, AI & Data Platform • Azure AI Foundry (Agent Service) & GenAI Landing Zones: Architecture and deployment of private AI Foundry landing zones with Private Endpoints, RBAC, Managed Identities, Azure AI Search, Azure Cosmos DB, Document Intelligence, and Azure Key Vault. • Agentic AI & MCP Integration: Connecting Azure Databricks (AI/BI Genie) as a structured knowledge source for AI Foundry agents using the Model Context Protocol (MCP). • Azure Databricks Platform Operations: Enterprise configuration and maintenance of Unity Catalog, SQL Warehouses, Service Principal (SPN) M2M authentication, and secure secret/token management. • Power BI Enterprise Infrastructure: Deployment, network hardening (NSGs, VNet peering), administration, and troubleshooting of distributed Power BI Gateways for hybrid on-prem/cloud data pipelines. • Cloud Automation: Engineering serverless maintenance and lifecycle automations with Azure Logic Apps and Azure Automation leveraging zero-trust RBAC. Big Data Infrastructure & On-Premise Legacy (Hadoop & ETL) • Cloudera CDH Cluster Management: Deployment, capaci