Data Engineer at West Monroe Partners

Designed and maintained end-to-end data pipelines on Data Bricks, covering ingestion, facet mapping, EDW and Gold Layer; built and refactored financial fact and dimension models (e.g., loan balances, advances, principal balances); translated legacy SQL into dbt models and migrated logic into a scalable dbt framework; applied dbt best practices including surrogate key generation, dimensional joins, controlled denormalization, and clear separation between current-state and historical logic. Led data quality and root-cause analysis across the full pipeline, addressing source-system mismatches and transformation defects impacting downstream analytics. Managed dbt orchestration and dependencies, troubleshot build failures, and coordinated with teams to resolve errors and optimize performance. Collaborated with senior engineers and architects on modeling standards, performance considerations, and incremental processing strategies to reduce recomputation and costs. Carried ownership from init

SQL Data Analyst at Equifax

Extracted and transformed data from multiple database tables; collaborated with product and analytics teams to understand data requirements and translated them into effective SQL queries and views. Conducted regular data quality checks and implemented data validation rules to ensure accuracy and reliability. Assisted in documenting SQL code and query optimization techniques for future reference. Independently processed and delivered a substantial number of projects, focusing on the most challenging products with a complex SQL codebase and revenue considerations. Demonstrated strong troubleshooting and data quality improvement capabilities.