About
Data professional skilled in designing and optimizing ETL/ELT pipelines, Lakehouse architectures, and Power BI/Tableau dashboards to deliver real-time, actionable insights and ensure high data quality and integration across cloud platforms.
Skills & Expertise (37)
Work Experience
Data Engineer
Agam Capital Management
Jan 2025 - Mar 2026
Designed and implemented enterprise Power BI semantic models and BI schemas using dimensional modeling and Microsoft Fabric Lakehouse Medallion Architecture, supporting scalable and governed reporting. Developed star-schema data models, defining business relationships, keys, and appropriate cardinalities between fact and dimension tables to ensure accurate analytics and optimized Power BI performance. Built and optimized 50+ Power BI reports and dashboards using advanced DAX, reusable measures, drill-through, and performance-tuning techniques, improving reporting efficiency by approximately 30%. Developed data-quality, reconciliation, governance, lineage, and Row-Level Security (RLS) frameworks, ensuring consistent business logic, traceable data, and secure access across Power BI reporting environments. Developed and optimized advanced SQL and Teradata-based data transformation and reconciliation processes, working with complex enterprise datasets, joins, aggregations, and business rules to support semantic-layer and data-mart development. Implemented automated data-quality checks, validation, exception handling, and reconciliation processes to deliver reliable and traceable reporting datasets for financial services.
Data Reporting Analyst
Olam Food Ingredient
May 2024 - Jan 2025
Designed an enterprise reporting platform integrating 100M–150M+ records across Microsoft Fabric Lakehouse and AWS, supporting scalable supply-chain and manufacturing analytics. Designed and developed Power BI semantic models, star schemas, and data marts, defining fact-dimension relationships, keys, and cardinalities to support reliable and performant reporting. Developed and optimized advanced SQL queries using complex joins, CTEs, aggregations, and transformations, preparing high-volume datasets for semantic models and analytical reporting. Automated data ingestion, transformation, validation, and Power BI refresh workflows using Fabric pipelines, Dataflows, and Power BI Service, while implementing reconciliation and data-quality controls.
Sr. Data Reporting Analyst
Wayzon Technology services
May 2020 - Jul 2022
Reconciliation, auditing, and Row-Level Security (RLS) controls for reliable and secure reporting. Designed and developed Power BI semantic models and BI schemas using star-schema dimensional modeling, defining appropriate relationships, keys, and cardinalities for cross-functional business reporting. Developed and maintained scalable data marts and reporting datasets, integrating 20M+ rows/day from cloud platforms, enterprise systems, and data warehouses for analytical reporting. Developed and optimized advanced SQL queries in Teradata and enterprise data warehouse environments using complex joins, CTEs, aggregations, window functions, and large-volume datasets, improving data retrieval, transformation efficiency, and Power BI report performance. Built Power BI dashboards and reusable DAX measures to translate business requirements into KPIs, analytical reporting, drill-downs, and interactive visualizations. Implemented automated data-quality and validation frameworks using Python and Great Expectations, along with reconciliation, auditing, and Row-Level Security (RLS) controls for reliable and secure reporting.
Education
MS in Information Studies; Major in Data Science - Syracuse University, School of Information Studies
2022 - 2024 · United States
BE in Electronics Engineering - Pune University
2015 - 2020 · India
Certifications
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Skills (37)
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