Enterprise Data Reconciliation & Analytics PlatformEngineered and deployed an enterprise-scale ETL pipeline to process over 2 million ecommerce transaction records using Python, PySpark, Hive, HDFS, and Databricks.Architected robust ETL workflows to clean, standardize, and merge data, achieving 95%accuracy in identifying transaction mismatches and inconsistencies.Authored complex SQL queries and automated reports to monitor 10+ KPIs, includingtransaction accuracy, reconciliation rates, and data quality metrics.Developed interactive Power BI dashboards to visualize reconciliation trends and customerspecific insights, enabling actionable data-driven business decisions.E-Commerce Sales Data Pipeline & Analytics PlatformConstructed an end-to-end data pipeline to process over 100,000 sales records, performingdata cleaning and enrichment with Python and PySpark.Performed in-depth SQL analysis to identify top-selling products, seasonal sales patterns,and key customer segments.Built dynamic Power BI dashboards with interactive filters and KPIs to present sales trends,product performance, and customer insights.Leveraged Hive for scalable data storage, enabling efficient analytics and reporting