graph databases , Databricks, Tensorflow, MLops, Machine Learning, Pytorch, Neo4j, Advanced Analytics, Keras, AWS, Spark SQL, Python, Azure, Nlp, LangChain, LLMs, LlamaIndex, DGL, LLMOps, embeddings, RAG, model lifecycle management, knowledge graphs, Scikit-learn, vector databases, semantic search, generative AI, prompt engineering

Java, Google Cloud, Enterprise Security, Iam, Azure, Python, AWS, LangChain, cloud-native DevOps practices, GoogleADK, Go, A2A protocols, rbac, sandboxing, Langraph

bedrock , Sql, Kafka, Hive, Scala, Apache Spark, SAS, AWS, Python, Spark, Airflow, dbt, GenAI solutions, MCP, RAG, CrewAI, LangGraph, Strands, Azure OpenAI Service, Langchain, AgentCore, AutoGen, Agentic AI Orchestration, workflow automation, GCP Vertex AI

Kafka, Sql, Rest Assured, Mq, Java, Gradle, Bdd, Linux, Nosql, Python, Tdd, Jenkins, Git, Restful Apis, Cucumber BDD, Playwright

SAS, Random Forest, Svm, Python, R, Segmentation, Forecasting, prediction modeling, machine learning techniques, lisrel

snowflake , Databricks, Data Lineage, Data Governance, data quality frameworks, financial services investment operations, data modernization, regulatory reporting platforms, cloud-based data and reporting platforms, financial reporting, data platforms, reporting automation, AI-enabled reporting capabilities, enterprise reporting