Designed and implemented scalable Azure Databricks pipelines.
Focused on pipeline reusability, performance, and data quality (unit testing).
Collaborated with cross-functional teams on evolving business rules.
Mentored team members and contributed to internal knowledge-sharing.
Led cloud migration from on-prem to Azure analytics platforms.
Built end-to-end pipelines with Azure Data Factory, Databricks, Synapse.
Enabled and coached five regional data teams across EU and ANZ.
Drove cross-region data harmonization for unified dashboards.
Used Terraform for Infrastructure-as-Code deployments.
Delivered full-stack Azure analytics solutions for enterprise clients.
Balanced performance, cost, and compliance in hybrid Azure architectures.
Led Cloudera-based projects with Spark, Hive, Kafka, and Impala.
Developed scalable hands-on and architectural solutions.
Presented at Microsoft and industry conferences.
Maintained enterprise-scale data warehouses with Microsoft BI stack.
Designed and optimized ETL processes for accuracy and high availability.
Established BI development standards for maintainability.
Tuned performance of reporting and modeling layers.
Designed and implemented scalable Azure Databricks pipelines.
Focused on pipeline reusability, performance, and data quality (unit testing).
Collaborated with cross-functional teams on evolving business rules.
Mentored team members and contributed to internal knowledge-sharing.
Led cloud migration from on-prem to Azure analytics platforms.
Built end-to-end pipelines with Azure Data Factory, Databricks, Synapse.
Enabled and coached five regional data teams across EU and ANZ.
Drove cross-region data harmonization for unified dashboards.
Used Terraform for Infrastructure-as-Code deployments.
Delivered full-stack Azure analytics solutions for enterprise clients.
Balanced performance, cost, and compliance in hybrid Azure architectures.
Led Cloudera-based projects with Spark, Hive, Kafka, and Impala.
Developed scalable hands-on and architectural solutions.
Presented at Microsoft and industry conferences.
Maintained enterprise-scale data warehouses with Microsoft BI stack.
Designed and optimized ETL processes for accuracy and high availability.
Established BI development standards for maintainability.
Tuned performance of reporting and modeling layers.