Dinesh is a Data Engineer with 4+ years of experience specializing in ETL, data warehousing, and business intelligence. He has demonstrated ownership in end-to-end development of BI reporting and data extraction, delivering critical business insights for stakeholders.
Expert in Azure Data Factory with proven ability to implement pipelines for data orchestration.
Delivered impactful Power BI dashboards that enabled stakeholders to make informed decisions.
Managed Azure deployments to ensure production readiness of BI solutions.
Recognized for contributions with multiple awards for development excellence.
Successfully implemented Azure Data Factory pipelines, enhancing data flow efficiency by 30%.
Delivered reports and dashboards that provided critical business insights, leading to a 25% increase in stakeholder engagement.
Executed end-to-end development and migrations of Business Objectives reports to Azure Power BI, improving reporting accuracy by 20%.
Overview: This project involved migrating client's data into a unified platform to build an AAS model for Power BI Reports and RDLs. Responsibilities: Delivered all development activities, including understanding business flows and logic to build the database. Implemented Azure Data Factory pipelines to orchestrate data flow from source to target. Developed Stored Procedures to transform data from source to stage to target. Created complex measures using DAX in Power BI and designed semantic data models with Azure Analysis Services.
Key outcomes:
Successfully delivered all development activities for data migration and reporting.
Created a robust semantic data model for reporting using Azure Analysis Services.
Overview: This project focused on implementing and supporting a Life and Health database, loading application-specific data for reporting purposes. Responsibilities: Implemented datasets through Power BI and developed various report types and visualizations. Performed several data loads to different applications using SSIS. Explored and visualized data to drive insights, deploying datasets and reports on Power BI services.
Key outcomes:
Successfully transformed and loaded data to application-wise databases, enabling advanced analytics and reporting.
Migrated several on-prem server reports and business objective reports to Azure using Power BI.
Dinesh
Data Engineer