T-sql, PostgreSQL, Mariadb, SQL Server, Kafka, Azure Sql, Azure Data Factory, Terraform, MySQL, Spark, Cosmos DB, Azure, Airflow, Purview, Great Expectations, Synapse, Stream Analytics, ADLS, dbt, Event Hubs, Bicep, Microsoft Fabric, SoDA

Amazon S3, Pyspark, AWS Glue, Quality, Emr, Data Governance, Data Lake, Data Architecture, Sql, Amazon Redshift, Data Warehouse, Python, Cataloging, Security, Lineage, Lake Formation, Lakehouse architecture, Athena

Java, BigQuery, Scala, Data Warehousing, Data Modeling, Dataproc, Sql, ELT, Cloud Storage, Data Quality, Data Governance, DataFlow, Python, Etl, cloud security frameworks, Pub Sub, Cloud Composer, lakehouse architectures

S3, Data Warehousing, Data Modeling, Microservices, ELT, Lambda, Python, Aws Services, Redshift, Sql, Kms, Cloudwatch, Iam, Data Governance, Restful Apis, Etl, lineage, API-driven integrations, data quality management, EventBridge, Security, Access Control, lakehouse patterns, Step Functions, DevOps practices, event-driven architectures, Lake Formation, CI CD pipelines, Glue, Athena

snowflake , Metadata Management, Cloudformation, Data Warehousing, Apache Spark, Data Architecture, Sql, Data Quality, Terraform, Data Governance, Databricks, Python, Infrastructure as Code, data pipelines, security frameworks, data modeling principles, data lakes, cloud-based data platforms, analytical architectures, real-time data processing

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

Data Quality, Metadata Management, Data Architecture, Data Governance, data standards, data lifecycle management, data management tools

Database Design, Data Modeling, Data Analytics, Data integration techniques and tools, Data governance and compliance standards

Powershell, Azure Data Bricks, Spark, Sql, Python, Azure Data Lake, Data Architecture