Databricks, Google Cloud, Kafka, MLops, AWS, Microsoft Azure, Spark, agentic systems, Llm, Airflow, Weaviate, RAG, dbt, AIOps, FAISS, Chroma, Qdrant

Aws Redshift, Data Governance, MLops, Azure Synapse Fabric ML, Vertex AI, metadata, data AI architecture, lineage tools, orchestration catalog, SageMaker, streaming Kafka, cloud data AI platforms, model risk controls, lakehouse, streaming analytics, GCP BigQuery, privacy and security-by-design, responsible AI, enterprise solution architecture

S3, Emr, Redshift, ELT, MLops, Cloudwatch, Iam, Etl, AWS, SageMaker, Lake Formation, Glue

bedrock , snowflake , Pyspark, Redshift, Sql, Git, Docker, Terraform, Spark, Databricks, Rest Apis, Kubernetes, Python, Aws S3, MLflow, Azure OpenAI, CI CD, Azure AI Services, SageMaker, Synapse, Glue, Microsoft Fabric, Azure ADF

Enterprise Architecture, S3, Azure Data Factory, Azure Synapse Analytics, Data Architecture, Microsoft Azure, Databricks, Security Compliance, AWS, Cloud Compliance, Create Design Documentation, Cloud Administration, Azure OpenAI, Data Warehouse Systems, Azure AI, Translate Into Technical Requirements

Data Migration, MLops, Data Lake, lakehouse, GenAI, vector search, embeddings, LLMOps, data platform design, streaming analytics, semantic models, Copilot, GenAI solution patterns, federated analytics, Zero Trust, Operational Excellence, Responsible AI, prompt orchestration, AI architectures

Data Lake, MLops, Data Migration, Enterprise Architecture, AI architectures, security standards, Copilot, GenAI, AI services, semantic models, Zero Trust, streaming analytics, cloud data platforms

graph databases , snowflake , ELT, Databricks, Kinesis, Togaf, Kafka, Etl, AWS, Nosql, Azure, Data Governance, Gcp, Master Data Management, Pub Sub, zachman, Data Architecture Frameworks

Amazon Redshift, Amazon Athena, Redshift Serverless, Iceberg tables, SQL Analytics, Athena, SageMaker Lakehouse, S3 tables, Data Lake architecture