data engineering , Power Bi, Power Automate, Data Warehousing, SSIS, Sql, Azure Data Factory, Etl Tools, Data Integration, Power Apps, data modeling best practices, API data integration, error logging, error handling

Data Modeling, Sql, data pipeline development, Snowflake Data Warehouse, ETL processes, database design principles, data quality frameworks, data querying techniques, data governance practices

snowflake , Github, Git, Data Modeling, Kafka, Snaplogic, Sql, Performance Tuning, GitHub Actions, dbt, Data Quality Testing

Pyspark, Data Governance, Data Modeling, Azure Synapse, Encryption, Spark SQL, Data Warehousing, Sql, Git, Azure Data Factory, Purview, Key Vault, PII handling, Event Hubs, Notebooks, DevOps practices, Dataflows Gen2, ADLS Gen2, Semantic layer design, rbac, Lakehouse, CI CD pipelines, Delta Lake, Microsoft Fabric, Azure Data Services

kimball methodology , Spark SQL, Pyspark, Dimensional Modeling, Sql, Azure DevOps, Data Governance frameworks, Lakehouse Architecture, Databricks Unity Catalog, Azure Stream Analytics, Real-time data processing, Data Vault 2.0, Data modeling methodologies, Microsoft Fabric

snowflake , Metadata Management, Sql, Apache Airflow, Docker, Kubernetes, Python, ETL ELT frameworks, AI-native development tools, SDK and API-based development, cloud-native technologies, streaming technologies, Agentic AI, dbt, cloud data warehouse platforms