containerization , Database Design, Tcp, Orchestration, Kafka, Data Modeling, Json, Avro, Cloud Architecture, Docker, Mulesoft, Data Quality, Http, Sql, Big Data Technologies, Xml, Data Warehousing, Kubernetes, Etl, Data governance principles, NiFi architecture and components, IBM Sterling, Data integration and management tools, Cloud platforms, Fabric

Spark SQL, Power Bi, Pyspark, Azure Databricks, Data Governance, Azure Sql, Sql, Git, Azure Data Factory, Azure Synapse Analytics, Python, Azure DevOps, Infrastructure as Code, Purview, Azure Data Lake Storage, rbac, Microsoft Fabric

Azure Databricks, Data Integration, Azure Synapse, Batch, Edw, Powershell Scripting, Ods, Azure DevOps, Data Modelling, Power Bi, Data Warehousing, Azure Sql, Python Programming, Real-Time, Azure Data Factory, Spark, Etl, MPP database architecture, Business Intelligence, Microsoft Entra ID, Data storage design, Lakehouse Implementation, SQL Optimization, ADLS, Delta Lake

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

Database Design, data integration strategies and tools, cloud-based data storage and processing platforms, Data Architecture Principles, data modeling techniques, scalable and maintainable data storage solutions, data security best practices

Databases, Big Data Technologies, Data Warehousing, Data Modeling, Infrastructure as Code IaC, ETL ELT Data Integration, Programming Scripting, Cloud Platforms, Data Lakes, DevOps DataOps MLOps

Sql, Etl, Data Modeling, Data Warehousing, Python, Spark, reverse-ETL, batch data processing, Relational Database Design, Azure Technologies, micro-batch data processing