containerization , Java, Javascript, Gcp, Azure, Python, AWS, Agile, Scrum, DevOps practices, microservices architecture

data vault , snowflake , Ml, Kafka, Sql, Gcp, Spark, Python, AWS, Airflow, GenAI, Ai, dbt

Confluence, AI-assisted development tools, Azure DevOps ADO, Aha, ADO-Git

Ml, Java, PostgreSQL, Kafka, Redis, Aerospike, Elasticsearch, MongoDB, AWS, SaaS platforms, distributed microservices, LLM integration, hexagonal architecture, Ai, AI-native product architectures, backend systems, agentic pipelines, event-driven architecture

Gcp, MLops, Spark, Databricks, Azure, AWS

Terraform, Databricks, Flows, Kubernetes, Python, AWS, GitHub Actions, AWS Bedrock, X-ray, Go, MLFlow

Distributed Systems, Spring Boot, Spring MVC, Microservices, Git, Gcp, Docker, Azure, Kubernetes, Python, AWS, Agile Methodologies, Java Core, Scalable Backend Architecture, Vector Databases, CI/CD Pipelines, LLM Fine-tuning

AWS, Agile Methodologies, Power Platform, Devops, MLops, Gcp, Azure, AI orchestration frameworks, Prompt engineering, Multi-agent frameworks, Spotify, AI governance models, cloud-native solutions, Agentic workflows, Microsoft Copilot Studio, RAG architectures, LangChain, LLM ecosystems, Generative AI, Enterprise AI platforms, LLMOps, Safe, Semantic Kernel, Azure AI Services, AI observability tools, OpenAI

React, Gcp, Software Engineering, AWS, distributed backend data pipelines, data-intensive analytics, data quality observability, GraphQL API, cloud data infrastructure, performance at scale