.Net Core, .NET 8, .NET Framework, Design Patterns, Web Api, Asp.net Mvc, SQL Server, Cloud Storage, Entity Framework, Restful Apis, Software design principles, Cloud patterns, Serverless functions, Infrastructure-as-Code

Design Patterns, Cloud security, PostgreSQL, React, Software Architecture, Python, AWS, Java, Data structures, Algorithms, Gcp, MongoDB, Restful Apis, Azure, Kubernetes, Infrastructure as Code, MITRE ATT&CK, Runtime security, Object-oriented programming, Workload protection, CI/CD security, nist, Container security, CNCF security best practices, CIS Benchmarks

state management , Distributed Systems, Gcp, Apache Kafka, Rest Apis, Azure, Kubernetes, AWS, Cloud Native Platforms, Kafka Connect, Confluent Platform, Hybrid Deployment Models

data compression , risk modeling , Software Development, Technical Leadership, Networking, Storage, Networks, Distributed Systems, User Interface Design, Modeling, tuning of complex systems, policy enforcement, compute technologies, Resource Management, large-scale infrastructure, Security, artifact-motivated software development, Hardware Architecture, large-scale system design, Performance Analysis, autonomous agents

distributed architecture , Java, Springboot, System Design, Microservices, Debugging and Problem Solving, Code Quality and Best Practices, Platform-Specific Knowledge

Powershell, Bash, Jenkins, Docker, Terraform, Azure, Helm, Python, AWS, Azure DevOps, Github Actions, Gitlab CI, ArgoCD

Power Bi, Tableau, Azure Databricks, Power Query, Sql, Data Warehousing Concepts, Dax, Python, Etl, reporting governance, stakeholder collaboration, dimensional modelling, row level security, performance optimization, Microsoft Fabric

Distributed Systems, Scalability, Cloud-native Systems, Generative AI, Software Development Practices, Compliance, Conversational Experiences, Recommendation Engines, AI Governance, Architecture Design, Platform-first Engineering, Security, Product Platform Integrations, AI-powered Workflows, Intelligent Automation, Data and AI Initiatives, Reliability, Observability, performance standards

Software Development, Stakeholder Management, designing and implementing large-scale distributed systems

Servicenow, Distributed Systems, Grafana, Jira, Kubernetes, AWS, Logicmonitor, Infrastructure as Code, monitoring and observability platforms