Data Governance, Metadata Management, Gcp, Data Modelling, Azure, AWS, Etl, ELT tools, Cloud platforms, Streaming technologies, Lineage tools, Data Lakehouse architectures, Iceberg, Hudi, AI ML data integration, Orchestration frameworks, Delta Lake

Aws Lambda, Amazon S3, Amazon Kinesis, Scala, AWS Glue, Sql, Amazon Redshift, Python, AWS Step Functions, Amazon Event Bridge, AWS Lake Formation, AWS AppFlow, AWS data services

snowflake , IAM roles & policies, monitoring & alerts, Kafka / big-data technologies, snowflake , AWS, Jenkins, AWS CodePipeline, Terraform, cloud security, S3, Ec2, RDS, Lambda, Kinesis, Emr, Vpc, Iam, Cloudformation, Sql, Python, PostgreSQL, MongoDB, Redis, Kubernetes, BI, Data Architect, secure, scalable enterprise data platforms, automate deployments, GitHub Actions, Monitoring, Step Functions, Aurora/RDS, Docker or AWS Fargate, OpenAI, Strong troubleshooting, communication, Cloud/Application/Platform Engineering, or Analytics, Cloud Engineer, Snowflake features, including Cortex AI

Data Analytics, Automation Tools, Alteryx, Tableau, Structured Query Language, Python, Visual Basic for Applications

Machine Learning, Python, Sql, R, Ai

Pl Sql, Data Warehousing Concepts, Sql, Data Analysis, Relational Databases

S3, Salesforce Integration, Scala, AWS Glue, Tableau, Redshift, Sql, Lambda, MLops, Kinesis, Python, Step Functions, CDC patterns, AppFlow, SageMaker, Lake Formation

Microservices, AWS, Dynamodb, Nosql, PostgreSQL, Typescript, observability, SSDLC

snowflake , Pyspark, ELT, Docker, Terraform, Python, AWS, Sql, Google Cloud, Devops, MLops, Spark, Databricks, Data Warehousing, Data Analytics, Azure, Kubernetes, Etl, CI CD, Vector Databases, Generative AI, Data Lakes, LLMs, Ai, Lakehouse, RAG, Microsoft Fabric, Prompt Engineering

Neo4j, Schema Design, Cloud Storage, Python, ELT, Etl, embedding pipelines, Cypher querying, vector databases