Apache Spark, Sql, AWS, Automation Tools, Python, Gcp, AI techniques, Spark History Server, Spark UI

production readiness , Incident Response, AWS, Live Site Management, SRE practices, automation capabilities, AI-assisted engineering practices, Software Development Life Cycle toolchain, root-cause analysis, observability

Apis, Vue, Es6, Node.js, Jest, Continuous Integration, React, Typescript, Javascript, Continuous Deployment, Responsive Web Design, AWS, Data Visualizations, Unit testing frameworks, GenAI technologies, MCP AI agent frameworks, AI coding assistants, cypress, LLM APIs, AI SDK integrations, playwright, UI components, vitest

.Net Core, Sql, New Relic, Jenkins, React, Terraform, Microsoft Azure, LogEntries, LLMs, AI Agents, tool calling, K8S, serverless, agent workflows, prompt engineering

architectural patterns , Algorithms, Web Api, MVVM, Solid Principles, SQL Server, Microservices, Oop, Git, Mvc, data structures, Azure, AWS, EF Core

Java, Algorithms, Machine Learning, Graphql, C, Javascript, Distributed Systems, Machine Learning Algorithms, data structures, Python, Clustering Algorithms, AI platforms, distributed processing, accessible technologies, AI algorithms, Generative AI Agents, Knowledge Graph

ECS, Spring Boot, Java, Dynamodb, Postgres, Kafka, React, AWS, Terraform, React Native, IaC, EaC, AI-assisted software development tools

Linq, Sql Server Reporting Services, T-sql, Asp.net Mvc, microsoft sql server integration services, Json, HTML, REST, Javascript, Agile, Xml, Team Foundation Server, Scrum, Rest Apis, Kubernetes, Microsoft Azure Cosmos DB, Microsoft SQL Server Management Studio, Microsoft Visual Studio IDE