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Data platform implementations in Azure
Design and implementation of 20+ data platforms in Azure following a standardized lakehouse approach, for clients such as Eyecare, Securitas and HDSR. From migrations of existing data warehouses to entirely new implementations.
what I did
- Drafted and executed architecture and implementation plans, in Synapse, Fabric and Databricks
- Pipelines for data ingestion from REST and SOAP APIs, Dataverse, SFTP and cloud storage
- Efficient extraction techniques: SCD, change data capture and incremental loading
- Translated business rules into transformations, data marts and dimensional data models
- Served end users with reports, dashboards and ML models
stack
AzureSynapseFabricDatabricksdbt