About
Results-driven Power BI Developer and Azure Data Engineer with 4.5 years of experience delivering Business Intelligence, Data Engineering, and Analytics solutions for enterprise clients. Experienced in designing interactive dashboards, building scalable ETL pipelines, integrating data from multiple sources, and transforming complex datasets into actionable business insights. Strong expertise in Power BI, DAX, Power Query, SQL, Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), Oracle, PostgreSQL, and Azure SQL. Proven ability to collaborate with business stakeholders, automate reporting processes, optimize data pipelines, and deliver data-driven solutions that support strategic decision-making. Microsoft Certified Azure Data Engineer Associate (DP-203) with hands-on experience across the complete analytics lifecycle from data ingestion to dashboard delivery.
Skills & Expertise (36)
Work Experience
Data Engineer/BI Developer
Renaissance
Mar 2023 - May 2026
Collaborated with business users and stakeholders to gather reporting requirements, translated them into technical specifications, and delivered BI solutions aligned with business goals. Developed and maintained enterprise-grade Power BI dashboards supporting business reporting and operational analytics. Gathered reporting requirements from business stakeholders and translated them into scalable BI solutions. Integrated Oracle and SQL-based datasets to create centralized reporting models. Designed optimized Power BI data models with relationships, calculated columns, hierarchies, and reusable DAX measures. Developed advanced DAX calculations for KPI tracking, trend analysis, variance analysis, and time intelligence reporting. Implemented Row Level Security (RLS) ensuring secure access to business-critical data. Published and managed reports using Power BI Service, workspaces, and scheduled refresh configurations. Performed data validation and reconciliation activities to improve reporting accuracy and reliability. Supported ad-hoc reporting requirements and issue resolution through JIRA-based ticket management. Collaborated with business users to improve dashboard adoption and reporting efficiency.
Data Engineer/BI Developer
Bristlecone India Pvt Ltd
Dec 2021 - May 2026
Collaborated with business users and stakeholders to gather reporting requirements, translated them into technical specifications, and delivered BI solutions aligned with business goals. Developed and maintained enterprise-grade Power BI dashboards supporting business reporting and operational analytics. Gathered reporting requirements from business stakeholders and translated them into scalable BI solutions. Integrated Oracle and SQL-based datasets to create centralized reporting models. Designed optimized Power BI data models with relationships, calculated columns, hierarchies, and reusable DAX measures. Developed advanced DAX calculations for KPI tracking, trend analysis, variance analysis, and time intelligence reporting. Implemented Row Level Security (RLS) ensuring secure access to business-critical data. Published and managed reports using Power BI Service, workspaces, and scheduled refresh configurations. Performed data validation and reconciliation activities to improve reporting accuracy and reliability. Supported ad-hoc reporting requirements and issue resolution through JIRA-based ticket management. Collaborated with business users to improve dashboard adoption and reporting efficiency.
Data Engineer/BI Developer
Mahindra & Mahindra
Dec 2021 - Mar 2023
Designed and developed Azure Data Factory (ADF) pipelines for enterprise data integration. Built ingestion frameworks to load data from SQL Server, CSV, JSON, and flat-file sources. Implemented Incremental Data Loading from source systems to Azure Data Lake Storage Gen2. Developed and maintained ETL processes for data movement across Azure services. Worked extensively with Azure Data Lake Storage, Azure SQL Database, Azure Blob Storage, and ADF. Configured Integration Runtime, Linked Services, Datasets, Pipelines, and Activities within Azure Data Factory. Optimized SQL queries and data extraction processes, improving reporting performance. Assisted in monitoring, troubleshooting, and maintaining production data pipelines.
Education
Bachelor of Technology (Computer Science Engineering) - Jawaharlal Nehru Technical University
- ยท Afghanistan
Certifications
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Skills (36)
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