T-sql, VB.NET, SQL Server, Data Modeling, Data Warehousing Concepts, Cloud integration technologies, ETL best practices, Error-handling mechanisms

T-sql, Data Modeling, VB.NET, SQL Server, Data Warehousing, Cloud Integration Technologies, ETL Best Practices

snowflake , BigQuery, cloud automation, Data Warehousing, Dimensional Modeling, Sql, Jenkins, Gcp, Terraform, Docker, Databricks, Python, Kubernetes, AWS, Airflow, Infrastructure as Code, DevOps practices, AI-enabled analytics platforms, data orchestration tools, GitHub Actions, Generative AI tools, CI CD pipelines

Azure Data Factory, Pyspark, Spark, Data Governance, Data Modeling, Sql, Microsoft Fabric Lakehouse, Pipeline optimization

snowflake , Pyspark, Data Warehousing, Data Modeling, Sql, ELT, Devops, Data Governance, Databricks, Python, Etl, orchestration tools, AI GenAI capabilities, Security, performance optimization

containerization , Github, Graphql, Database Development, Data Modeling, Docker, Restful Apis, Python, Index maintenance, Advanced SQL queries, Stored procedures, Query performance tuning, Data warehousing principles, WebSockets

Pyspark, S3, SQL Server, Apache Spark, AWS Glue, AWS Athena, Visual Studio, SSIS, Redshift, Sql, Ec2, Postgres, Etl Tools, Python, Lambda functions, AWS Analytics services, Matillion, Step Functions, Data-Pipelines

data integration techniques and best practices, data storage solutions, Databricks Unified Data Analytics Platform, big data processing, distributed computing frameworks, data pipeline development and management within cloud environments

snowflake , Sql, Python, ETL technical design, data quality testing, data sourcing, Azure D365 stack, AWS Data Analytics