Data Analyst specializing in Compensation & Benefits, helping organizations optimize pay structures, improve benchmarking accuracy, and drive data-backed workforce decisions.
I am a Data Analyst with hands-on experience in compensation analytics, salary benchmarking, and large-scale data validation.
Currently working at Mercer, I handle complex compensation datasets across APAC, transforming raw data into structured insights that support pay decisions, job alignment, and workforce strategy.
My work sits at the intersection of data engineering and business impact — building pipelines, improving data quality, and delivering analytics that leaders can trust.
Mercer · Noida, India
Tata Motors Ltd.
Designed and implemented a scalable ETL pipeline using Apache Spark and Delta Lake (Bronze–Silver–Gold architecture) to process multi-source datasets. Improved data accessibility and enabled structured reporting by cleaning, standardizing, and aggregating raw data into analytics-ready formats.
Developed a data validation and analytics solution combining Power BI and Python. Built dashboards for salary benchmarking and compa-ratio analysis, while implementing automated validation checks to detect anomalies, missing values, and pay inconsistencies. Enabled faster issue identification and improved reliability of compensation insights.
Amity University Online
Graphic Era Hill University
Open to opportunities in Data Analytics, Compensation Analytics, and Data Engineering.