S3, Veracode, Pyspark, PostgreSQL, Sql, Cloudwatch, Docker, ECS, Iam, Databricks, Python, AWS, Azure DevOps, LangChain, Secrets Manager, Prisma Cloud, Unity Catalog, Aurora, LangGraph, OpenTelemetry, Delta Lake, MCP

.Net Core, containerization , Amazon Web Services, Typescript, Docker, Reactjs, Microsoft Sql Server, Azure Storage, Kubernetes, Redis, Microsoft Azure cloud-native services

Azure, Ensemble LangGraph, AutoGen Framework, Agentic AI, Ml Flow

Apigee, Angular, Web Application Security, AWS, Java, Workflows, Agile Methodologies, Version Control, Testing Frameworks, Api Development, Sdlc, Log Analysis, Git, DevSecOps, Business Rules, Web Services, Guidewire Configuration, Continuous Improvement, CI CD, Troubleshooting, System Integrations, Commercial Lines Insurance, Guidewire PolicyCenter, Product Model Configuration, Production Support

Nunit, Github, PostgreSQL, Pytest, Kafka, Angular, React, JUnit, Docker, Sonarqube, Selenium, Azure DevOps, AWS, Java, Springboot, Graphql, Redis, Spring, TestNG, Moq, REST, Mockito, MongoDB, FastAPI, Postman, Cucumber, Azure, Kubernetes, Wiremock, GitHub Actions, Playwright, Cypress

Machine Learning, Pyspark, Pytorch, Docker, Python, AWS, Azure DevOps, Sklearn, Automated Testing, Git, MLops, Databricks, Kubernetes, MLflow, GitHub Actions, Experiment tracking, Observability, Monitoring, Model registries, Model drift analysis, Governance, versioning, Lakehouse, CI/CD, Evidently AI

Distributed Systems, Kubernetes, Apigee Hybrid, Networking Fundamentals, Linux Operating Systems

Configuration management, Cloud Infrastructure, Shell scripting, Kubernetes, Python, Go, Automation for infrastructure lifecycle management, Fleet lifecycle administration, Linux-based distributed systems, Operational telemetry, Cluster scheduling, Networking fundamentals

Azure Virtual Desktop, PowerShell, Sql, Azure infrastructure support, Microsoft Defender for Cloud, Identity Access Entra ID B2C AD, Azure Blob Storage, Azure Portal, Azure CLI

Machine Learning, Pyspark, Pytorch, Docker, Python, AWS, Azure DevOps, Sklearn, Automated Testing, Git, MLops, Databricks, Kubernetes, MLflow, GitHub Actions, Experiment tracking, Observability, Monitoring, Model registries, Model drift analysis, Governance, versioning, Lakehouse, CI/CD, Evidently AI