.NET, Java, C, Waterfall, Jsp, J2EE, Sql, HTML, Javascript, Data Manipulation Language, Agile, Xml, data storage subsystems, test-driven development, normalized dimensional data modeling

Ssms, T-sql, Tfs, VB.NET, Ssrs, CSS, Ms Sql Server, Visual Studio, SSIS, HTML, jQuery, Git, Javascript, Classic Asp

Odata, Visual Studio, Data Factory, Github, Ssrs, Azure Logic Apps, Power Bi, Aif, Python, Sql Server Management Studio, Service Bus, MS Fabric, AI Builder, Microsoft Fabric, Copilot Studio, Dual Write, DMF, DevOps pipelines, Integration strategies, SOAP APIs, Common Data Services, ETL techniques, D365 Extension framework

data engineering , data vault , Sql, S3, ELT, Emr, Data Warehousing, Dimensional Modeling, Apache Spark, Kinesis, Kafka, Etl, AWS, Python, Git, Data Modeling, Apache Hudi, Athena, Airflow, Flink, Delta Lake, Infrastructure as Code, Glue, Apache Iceberg

data discovery , Google Cloud Platform, Kafka, Data Modeling, Data Lineage, Sql, Metadata Management, Python, Data lakehouse principles, Parquet, cdc, SCDs, Streaming architectures, Google BigQuery, Dimensional models, Pub Sub, AI ML use cases, Google Cloud Storage, Data pipelines, Data versioning