Rakshit

Proactive and results-driven data professional with an AWS Certified Cloud Practitioner certification and strong experience in Amazon QuickSight, Python scripting, SQL optimization, and data validation. Adept at transforming business requirements into actionable insights through effective dashboards, automation, and optimized data pipelines. Successfully migrated 30+ reports from Birst to Amazon QuickSight, ensuring a smooth transition for end users while maintaining accuracy and usability. Proactively monitored Tableau reports, working with cross-functional teams to resolve data refresh failures and deliver timely, reliable updates. Automated workflows by developing Python scripts to validate vendor data and send status summary emails for team-owned tables, reducing manual effort and boosting team productivity. Supported thorough data validation in Tableau reports before production release, ensuring high-quality, error-free deliverables for end users. Skilled in optimizing SQL queries for existing metrics, cutting execution time and operational cost while preserving data accuracy. Actively contributed to testing and onboarding new metrics to the data pipeline based on evolving business needs, always ensuring data integrity and compliance. Played a key role in migrating legacy metrics from Hive to Spark, performing rigorous unit and sandbox testing to ensure accuracy, reliability, and seamless transitions. Updated metric logic and maintained table metadata to comply with data governance rules and industry standards. Highly proficient in understanding report requirements, mapping data sources, and designing clear, impactful dashboards and visualizations in Amazon QuickSight that enable data-driven decisions. Known for strong collaboration and communication skills, working effectively with teams to tackle data challenges, automate repetitive tasks, and maintain robust reporting ecosystems.