Vatsal Doshi

I’m a results-driven Data Analyst with 3+ years of experience in SQL, Python, and data analysis. I specialize in ETL/ELT, data pipelines, and data modeling with Snowflake and relational databases—helping teams turn large, messy data into clear decisions. I consistently work with 1M+ record datasets, delivering data cleaning, validation, and exploratory analysis to surface actionable insights.

In my current role, I designed and implemented data mapping and data integration across 5+ source systems, enabling scalable data migration and ensuring 99.9% data accuracy with zero critical data loss. I use advanced SQL (joins, aggregations, window functions) to identify business trends and performance gaps, improving decision-making efficiency by 30%. I also built and optimized Snowflake-based ETL/ELT pipelines, improving processing efficiency by 40% and reducing pipeline execution time by 35%.

I’ve supported high-impact reporting and quality work through interactive dashboards and rigorous validation. I developed KPI dashboards using Power BI and Tableau, improving reporting accuracy by 25% and increasing stakeholder adoption by 30%. I conducted data validation and quality checks during migrations with SQL, reducing production data issues by 35% and ensuring 98%+ data accuracy while coordinating with 8+ cross-functional stakeholders in Agile environments.

Previously as a Clinical Data Analyst, I owned end-to-end clinical data management (discrepancy review, query generation, resolution) and improved data quality while reducing query turnaround time by 30% across multiple clinical studies. I automated clinical trial reporting using SAS, SQL, and Cognos, improving efficiency by 25% and enabling faster regulatory submissions. I also designed edit checks, validation rules, and UAT testing to catch inconsistencies early—strengthening data integrity, compliance, and faster study delivery.