Teams at Coretek Services

Designs and implements Azure-based data and AI solutions for clients. Responsibilities include developing data platforms and ETL/ELT pipelines, integrating Azure AI and machine learning services, supporting solution architecture, implementing DevOps automation, ensuring governance and security, and building Power BI analytics. The consultant conducts client workshops, gathers requirements, presents solutions, mentors team members, and contributes to modern data and AI consulting engagements.

Designs, implements, supports, and improves enterprise Azure, hybrid, on-premises, and network security environments. Owns complex routing, switching, firewall, SD-WAN, cloud connectivity, and automation solutions. Provides L3 escalation support, incident triage, root cause analysis, client advisory, documentation, and technical leadership across managed services environments. Mentors engineers, improves standards and monitoring, supports migrations, and automates deployments using infrastructure-as-code and scripting tools.

Lead end-to-end Azure infrastructure engagements: design, implement, validate, document, and transition environments to managed services. Use Cloud Adoption Framework and Well-Architected principles, perform migrations with Azure Migrate, ensure security, resiliency, operational readiness, automate via IaC, troubleshoot complex issues, and enable knowledge transfer for managed services.