Java, Hibernate, PostgreSQL, Microservices, Spring, Azure, Cloud Computing, development best practices, software architecture design patterns, NoSQL DBs, cloud transformation techniques, modernization tools

data engineering , Databricks, Java, Scala, Kafka, Sql, Gcp, MLops, Spark, Azure, Python, AWS, Airflow, Generative AI, LLMs, MLflow, ML AI platforms, Lakehouse, dbt, Delta Lake, RAG, AI governance

data engineering , .NET, snowflake , Machine Learning, ELT, Angular, Microservices, Scalability, React, Distributed Systems, Solution Architecture, Python, AWS, Java, Databases, Apis, Performance, Gcp, Cloud Architecture, Integration, Databricks, Azure, Etl, Enterprise Application Design, Security, Generative AI, Data Lakes, LLMs, Ai, Full Stack technologies, Analytics, API architecture

Generative AI (GenAI), GCP), Cloud platforms (AWS, Azure, Databricks, LangChain, CrewAI, NIST AI RMF, AWS Bedrock, AI governance and compliance frameworks, Ai, Anthropic, LLMOps pipelines, Microsoft RAI Maturity Model, LangGraph, AI/ML specializations, EU AI Act, RAG, ISO 42001, Multi-agent architectures, Azure AI, OpenAI