PAPUN KUMAR

Promoted to Senior Consultant from Consultant. Led architecture and cloud-native data platforms on AWS with scalability planning to align ingestion, storage, and processing to SLAs. Designed and optimized robust pipelines across heterogeneous sources, improving pipeline reliability and maintainability. Directed end-to-end delivery of six critical systems while mentoring teams of 27, elevating delivery consistency. Implemented orchestration and scheduling, saving 18 hours/week through automation. Established data quality governance and validation frameworks, reducing defects and boosting analytics trust. Implemented monitoring and alerting via CloudWatch, strengthening operational resilience and reducing incident response time by 35%. Created documentation and handover materials to streamline onboarding and reduce knowledge gaps by 30%. Delivered data platform optimizations that cut annual operating costs by 12% through streamlined ETL and efficient cloud sizing across clients.

Participated in structured knowledge transfer to understand internal usage of third-party tools and existing ETL workflows. Documented ETL patterns and recommended improvements to accelerate team ramp-up, reducing onboarding time by 10 days.

Promoted to System Engineer from Assistant System Engineer. Regional rollout enabled by setting up a new technical environment in India for pre-merger program, accelerating deployment within 8 weeks. SSO integration and R package migration via RStudio, streamlining build/deploy Talend ETL jobs to orchestrate data flows from in-house apps/SQL/AS400 into Salesforce and Cropin. ETL lifecycle ownership from requirements to maintenance, including scheduling, monitoring, and performance tuning. Logging, error handling, recovery practices cut job failures and boosted system stability. Technical documentation & root cause analysis to improve resilience and operational efficiency. Optimized Talend ETL data flows cutting batch processing time by 38% and delivering 15% higher nightly throughput for the India rollout. Decreased data storage and processing costs by 22%, reallocating savings to core analytics initiatives and accelerating project delivery timelines across India operations. Scaled ETL pipelines to handle fivefold peak loads while maintaining 99.95% uptime, ensuring timely data availability for critical business dashboards. Implemented automated data quality checks and exception handling reducing production incidents by 60% and improving release stability across ETL jobs for India.