Data Governance, Data Warehousing Concepts, data storage solutions, ETL processes, data integration techniques, data quality best practices, Microsoft Azure Databricks

Amazon Web Services (AWS), Java, Hadoop, Scala, Nodejs, Emr, Data Modeling, Sql, Hive, Spark, Python, Agentic AI tools, AI code generation tools, ETL pipelines

Azure Data Bricks, Pyspark, Performance Tuning, Data Warehousing, Data Modeling, Sql, ELT, Azure Data Factory, Azure Data Lake, Databricks, automation, Python, Etl, Azure Cloud technologies, pipeline development, Delta Live Tables, Unity Catalog, Delta Lake, Autoloader

snowflake , Bi Tools, Data Governance, Nosql, Amazon Redshift, Apache Hive, HDFS, Data quality management frameworks, Warehouse SQL

Amazon Web Services (AWS), Java, Hadoop, Scala, Nodejs, Emr, Data Modeling, Sql, Hive, Spark, Python, Natural language interfaces, Agentic AI tools, AI-powered platforms, Self-service analytics, AI agents, AI code generation, Data pipelines, Automated data classification, ETL pipelines

Azure, Python, AWS, ETL ELT tools, data pipeline development, Snowflake SQL

Kinesis, Databricks, Sql, S3, AWS Glue, Redshift, Data Lake Architecture, Data Pipeline Development, Step Functions, Airflow, Data Quality Management

Pyspark, Azure Synapse, Sql, ELT, Etl, Data validation frameworks, Fabric-native tools, Great Expectations