Data Factory, Azure Data Lake, Microsoft Azure, Data Modeling, ELT, Etl, data fabric, Purview, Synapse Analytics

Data Quality, Data Governance, data modeling concepts, cloud-based data storage solutions, Microsoft Azure Data Services, metadata management practices, data integration techniques, database design principles, scalable and secure data architectures

Git, BigQuery, Gcp, Pyspark, Dataproc, DataFlow, Sql, Python, CI CD Pipelines, Airflow, Dataform

Github, Power Bi, Pyspark, Datadog, Sql, Jenkins, Git, Azure Data Factory, Distributed Systems, Gitlab, Splunk, Python, cloud-based microservices, Batch Systems, Data Bricks, Synapse, CI CD pipeline, Dedicated SQL Pool, ADLS, Azure services, Spark Pool, cloud-native architectures

snowflake , Sql, Data Architecture, Data Warehouse Architecture, Python, Conceptual Logical Physical Data Modelling, Cloud-native data platforms, Dimensional Modelling, ETL ELT concepts and frameworks, Change Data Capture – CDC, dbt, Data Vault 2.0

Scala, Pyspark, Apache Spark, JIRA, Sql, Jenkins, Git, Confluence, Powerbi, Terraform, Gitlab, GCP Data Lake, MLflow, GCP Pub Sub, GCP Cloud Storage, Vector Databases, Delta Lake, Looker Studio

Metadata Management, Data Factory, Power Bi, Rdf, Neo4j, Data Governance, GraphDB, owl, controlled vocabularies, AI Data Platforms, GraphRAG, Enterprise Data Modelling, Amazon Neptune, Semantic Modelling, Microsoft Fabric, SKOS, Taxonomies, Knowledge Graphs

Ml, Metadata Management, Data Architecture, Data Lake, Databricks, GenAI, Ai, Teradata, Cloud-native Data Platforms, Unified Data Access Layer, Hadoop-based Platforms, Lakehouse, Data Fabric, EDW Ecosystems

data warehouses , SAP, Power Bi, SQL Server, Data Governance, Data Modeling, Sap Bw, ELT, Azure Synapse, Azure Data Factory, Sap Hana, Etl, Data lakes, Microsoft data technologies, MS Fabric, Analytics platforms