Business Intelligence Engineer
Current•Enhanced performance and cost-efficiency of Redshift queries through advanced tuning and strategic resource management.•Ensured minimal downtime and uninterrupted BI operations by providing expert technical support.•Strengthened data protection and compliance in Azure Cosmos DB by designing custom data encryption and robust security measures.•Enabled seamless metadata sharing across AWS accounts by setting up cross-account access for AWS Glue Data Catalog.•Facilitated integration with external services by managing service connections in Azure DevOps.•Ensured effective historical data storage and regulatory compliance by configuring data archival and retention policies.•Enabled sophisticated data transformations in BigQuery with scripting languages (JavaScript,Python).•Revolutionized ETL processing in Azure Data Lake by optimizing integration with Azure Data Flow.•Created and managed Power BI datasets with advanced data transformation and enrichment for accurate and insightful visualizations.•Enhanced data security by using Azure Key Vault’s HSM-protected keys for applications with stringent security requirements.•Improved database performance through effective partitioning and indexing strategies.•Utilized Bayesian hierarchical models to enhance accuracy and interpretability of complex data analysis.•Optimized QlikView applications to handle large datasets for enhanced performance and scalability.•Leveraged Azure Databricks AutoML for automated machine learning model selection and tuning.•Implemented Blob Storage event notifications in Azure Logic Apps, automating workflows on data changes to improve process efficiency.•Enhanced data governance frameworks.•Utilized Azure Purview’s AI-driven recommendations to enhance data asset discoverability and relevance.•Integrated multiple data sources into a BI platform on Azure, utilizing Azure Data Lake Storage and Azure Data Factory to streamline data ingestion & transformation processes.