Dharmendra Rajen is a Data Engineer with a decade of experience delivering cloud-native data solutions and eight years focused on analytics engineering in Canada. He has designed and migrated on-premises ETL to Azure Data Factory and Databricks, building end-to-end pipelines and dashboards that support investment decision-making for infrastructure and private markets at OMERS. Comfortable across Azure and AWS ecosystems, he combines SQL/SSIS expertise with Python automation and orchestration using Logic Apps and Data Factory. His background spans telecom network engineering and QA roles, which gives him a practical appreciation for reliability and production readiness. Azure and AWS certifications underscore his platform fluency, and he often bridges data engineering and product needs to turn analytics requirements into operational software.
Contributions:139 pushes, 1 branch, 101 comments in 2 years 9 months
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