data warehouses , Metadata Management, Scala, Sql, Data Quality, Spark, Etl Tools, Data Governance, Data lakes, NoSQL databases, Cloud data solutions implementation, Generative AI technologies, Streaming platforms, Data visualization tools, Data Cataloging, Data modeling techniques, Data architecture solutions

Database Design, Data Governance, Data Architecture Principles, Data quality management practices, Data integration methods and tools, Data modeling techniques, Scalable and maintainable data storage solutions

snowflake , reporting technologies , Spark, Sql, Pig, Java, Bash Scripting, Hadoop, Tableau, Etl, Powerbi, Data Warehouse Concepts, Hive, Python, Nosql, Informatica, Data Modeling, Redshift, Data Transformation, AJO, Unifi, AEP RTCDP, Business Requirements definition, CJA

Test Driven Development, Data Migration, Sql, Aws Services, Data Warehousing, Software Development, Python, Big Data, Data Warehouse, Cloud-based Data Platforms, Data Lakes, Real-time Data Pipelines, No-SQL, Message Brokers, Data Integration Solutions, AI Concepts

snowflake , SQL Server, data architecture principles, data modeling techniques

amazon dynamodb , amazon emr , Sql, Pyspark, Sqs, Terraform, Amazon Redshift, Data Modeling, AWS Glue, Aws Lambda, Amazon S3, Sns, Amazon Rds, Python, MongoDB, AWS Step Functions, DocumentDB, Streaming Kafka, AWS Kinesis Data Streams, EventBridge, Amazon Athena, AWS Data Analytics services, Amazon MWAA, Gen AI tools, AWS Lake Formation, AWS DMS, NoSQL databases

Postgressql, Database Management, Query Optimization, Performance Tuning, Database Security, Design Principles, Normalization