Data Quality, Data Governance, data modeling concepts, cloud-based data storage solutions, Microsoft Azure Data Services, metadata management practices, data integration techniques, database design principles, scalable and secure data architectures

Scala, Pyspark, Apache Spark, JIRA, Sql, Jenkins, Git, Confluence, Powerbi, Terraform, Gitlab, GCP Data Lake, MLflow, GCP Pub Sub, GCP Cloud Storage, Vector Databases, Delta Lake, Looker Studio

Microsoft Azure, Synapse, Fabric

snowflake , Sql, Databricks, SQL Server, automation, Data Modeling, Python Scripting, Oracle, Control M, Git, Airflow, dbt, CI CD, DevOps practices, cloud data warehouses

Spark SQL, Pyspark, Apache Spark, Data Quality, Data Governance, Data Modeling, Apache Airflow, Databricks, Databricks SQL, Unity Catalog, Delta Lake, Lakehouse architecture, Pipeline orchestration, Cost Optimization, Databricks Workflows