Spark), Machine Learning (ML), big data technologies (Hadoop, GCP), Artificial Intelligence (AI), cloud platforms (AWS, Tensorflow, Pytorch, Azure, DevOps practices, data visualization tools, microservices architecture, CI/CD pipelines

Java, Machine Learning, Database Administration, Devops, Docker, Azure, Python, Kubernetes, AWS, GenAI, LLMs, semantic technologies, event-driven patterns, intelligent automation frameworks, microservices architecture, RAG, CI/CD, API-first design principles, Knowledge Graphs, Enterprise Software Engineering

.NET, snowflake , Power Bi, SQL Server, Tableau, J2EE, Informatica, Sql, ELT, Gcp, MySQL, Spark, Talend, Azure, Oracle, Python, Etl, AWS, Matillion, Fivetran

.Net Core, C#, Graphql, SQL Server, Kafka, Rabbitmq, Docker, Microsoft Azure, Rest Apis, Solution Architecture, AKS, Azure Service Bus, Microservices Architecture, ASP.NET Core

PostgreSQL, Spring Boot, Kafka, Java 8, Microservices, Nosql, React, Typescript, Javascript, Docker, Gitlab, Oracle, Hibernate, Oauth2, Jwt, J2EE, Spring Cloud, Css3, Sql, Rabbitmq, Sso, Jenkins, Git, Html5, MongoDB, Rest Apis, Jpa, Kubernetes, CI/CD pipelines, API gateways

containerization , Java, Apis, Elk, Prometheus, Grafana, Microservices, Docker, Terraform, Ansible, Kubernetes, Python, Infrastructure as Code, Go, CI CD, OpenTelemetry

data engineering , snowflake , Metadata Management, Data Modeling, Pyspark, Data Governance, Python, AWS, Sql, Gcp, Lakehouse Architecture, AI Governance, Vector Search, Retrieval-Augmented Generation, LangGraph, Databricks Data Intelligence Platform, semantic search, LangChain, Performance Optimization, Generative AI, Model Context Protocol, Data Pipeline Design Automation, Data Quality Observability, Agentic AI, Prompt Engineering, LlamaIndex, Streaming Batch Data Processing