Data Warehousing Concepts, Databricks Unified Data Analytics Platform, data integration tools and techniques, cloud platforms and services related to data storage and processing, ETL processes, data governance and data quality best practices

snowflake , Hadoop, Power Bi, Scala, Kafka, Data Modeling, Sql, Apache Airflow, Git, Azure Data Factory, Docker, Spark, Python, data integration techniques, ETL processes, dbt

data preparation , DataEngineer, Feature Engineering, Model Deployment, Senior Data Engineer with AI/ML, S3 Glue EMR Redshift Lambda, ? AWS SageMaker experience, ? Kafka or Kinesis for real-time streaming, ? MLOps and CI/CD for ML pipelines, ? Power BI integration with cloud-based data platforms and large-scale datasets

snowflake , Metadata Management, Azure Synapse Analytics, AWS Glue, Azure Databricks, Data Modeling, Data Lineage, Sql, Informatica IICS, Data quality frameworks, Azure SQL Database