react.js , Express.Js, Node.js, Microservices, Git, Typescript, Docker, MongoDB, Rest Apis, Azure, AWS, LangChain, Cloud platforms, Azure OpenAI, RAG, LLM-based applications, OpenAI, AI GenAI integration, Prompt Engineering

Pyspark, Microsoft Sql Server, Azure Databricks, Sql, ELT, Jenkins, Git, Azure Data Factory, Azure Functions, Data Warehousing Concepts, Azure cloud services, FastAPI, Oracle, Python, RDMS, Etl, NoSQL databases, CI CD processes, Azure Databases, Azure Data Fabric, API Gateway management, Azure Lake Gen 2, DevOps lifecycle

Pyspark, Docker, Python, Data Transformation, Sql, Git, Pandas, FastAPI, vector databases, Azure AI Agent Service, embedding-based retrieval, LangGraph, multi-agent workflows, LLM-powered applications, LangChain, agentic AI systems

DAST, Servicenow, Github, Apis, Jira, DevSecOps, Gitlab, Owasp Top 10, Penetration Testing, Azure DevOps, application-security, cloud-based applications, security-engineering, secure-code reviews, SCA, SAST, Secure SDLC practices, OWASP ASVS, product-security, OWASP API Security Top 10, vulnerability-management

performance tuning), SQL (window functions, Github, Aws Services, Google Looker, Data Modeling, JIRA, Joins, Apache Airflow, Confluence, Python, dbt expectations, dbt macros, Amazon SageMaker, Ms Office Suite, Trino, dbt transformation, Data pipelines, aggregations, LookML

Machine Learning, Hadoop, MLops, Python, Deep Learning, Spark SQL, Azure, Generative AI, LLMs, AI Model Deployment, ML Pipelines