Ml, Authentication, Python, Software Architecture, Apis, Enterprise Applications, generative AI, LLMs, Security, vector search, Ai, cloud platforms, embeddings, CI CD, Source Control, RAG, Authorization

Python, Java, Rabbitmq, Kafka, Automated Testing, Git workflows, observability

snowflake , Neo4j, BigQuery, Pyspark, Kafka, Redshift, Sql, Apache Airflow, Databricks, LangChain, Batch and streaming pipeline design, Warehouse internals, Data modelling paradigms, Data engineering fundamentals, Unity Catalog, LangGraph, Dimensional data vault, dbt, Delta Lake, Data quality frameworks, Medallion architecture

Git, Version Control Systems, Cloud Technologies, AWS, GenAI technologies, micro services development, machine learning concepts, Github workflows

snowflake , Java, BigQuery, Apis, Kafka, Redshift, Sql, Microservices, Angular, Devops, Gcp, Spark, Databricks, Distributed Systems, Azure, Python, Airflow, Apache Iceberg, Redis caching, Dremio, Data quality lineage reconciliation and governance frameworks, AI driven modernization

bedrock , Json, Nosql, Lambda, Python, Api Gateway, Dynamodb, Sql, Jenkins, Xml, Rest Apis, LangGraph, high-performance large-scale AI ML systems, cloud-native architectures, ChromaDB, LangChain, CrewAI, AWS ML services, Generative AI, AI model risk management, PGVector, prompt engineering, SageMaker, FAISS

Oracle, Java, J2EE, Jenkins, Azure ML, Ms Sql Server, Rest Apis, Spring Framework, Vector DB, LLMs, cloud-based AI services, OpenSearch, Relational Databases, version control practices, AWS SageMaker, Continuous Integration tools, AI ML frameworks