Profisee, Powerbi, Data Engineer

Database Management Systems, Data Analytics, Data quality assurance techniques, Data governance principles, ETL processes, Scripting and programming languages relevant to data processing, Data integration tools, Designing and implementing data pipelines

data engineering , Apache Hadoop, Machine Learning, Amazon Web Services, Data Modeling, Power Bi, Power Automate, Apache Spark, Apache Kafka, Data Warehousing, Microsoft Azure, Excel, Data Analytics, Data Pipelines, Python Programming Language, Minitab, SQL Programming Language

data engineering , Data Management, Data Analytics, Data Architecture, database administration, Infrastructure Management, technical support, systems maintenance

Data Governance, Data Lineage, Sql, ELT, Automated Testing, Version Control, Azure Synapse Analytics, Python, Azure DevOps, Etl, Code reviews, Lakehouse concepts, Deployment standards, Power BI semantic models, Data cataloguing, CI/CD pipelines, Data pipelines, Data quality frameworks, Microsoft Fabric, Azure data services

MySQL, SQL Server, Azure Synapse Analytics, Apache Spark, HBase, Hadoop, Pyspark, Azure Databricks, Hive, Python, Scala, PostgreSQL, Azure SQL Database, Azure Data Lake Storage

Data Modeling, Pyspark, Sql, Git, Azure Data Factory, Databricks, Data Warehousing, Azure DevOps, GitHub Actions, Synapse Analytics, Delta Lake, Microsoft Fabric

Pyspark, Apache Spark, Azure Sql, ELT, Git, Azure Data Factory, Azure Synapse Analytics, Databricks, Etl, Azure DevOps, cdc, Data Lakes, GitHub Actions, Microsoft Fabric, Azure Data Services