Devesh Singh is a data engineering professional with 4.5+ years at Citi building and optimizing Spark-based pipelines for regulated risk and finance reporting. He specializes in migrating legacy SAS workloads to PySpark, reducing runtimes and compute costs while meeting SLA-critical deadlines, and has authored 55K+ lines of production code recognized with internal awards. Comfortable across the full data lifecycle, he designs ingestion, validation, monitoring, and recovery systems using Python, PySpark, Snowflake, Hadoop, and AWS, with a strong emphasis on reliability and maintainability. A DTU graduate in Mathematics & Computing and an active competitive programmer, he brings algorithmic rigor and an engineering-first mindset to platform and backend-heavy data problems. Notably, he was selected for Citi’s Director Hall of Fame and early internal AI toolbeta-testing, reflecting both technical impact and a knack for creative solutions.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Technology - BTech Mathematics and Computer Science, Bachelor of Technology - BTech Mathematics and Computer Science at Delhi Technological University
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