Amarjeet Singh
Lead Data Engineer + AI | Data Platform Engineer| Ex Paytm | Ex TCS | Spark | PySpark Developer| Flink | AWS | DBT | Airflow
- Role
- Senior Data Engineer at Zupee
- Location
- Gurugram, HR, IN
- LinkedIn followers
- 500 followers
About Amarjeet Singh
Data Engineering leader with 6+ years of experience designing, building, and optimizing scalable real-time and batch data infrastructure on AWS and GenAI. Proven ability to lead cross-functional projects, mentor teams, and deliver significant business impact through data platform development, cost reduction (up to 30%), and performance optimization (up to 75% runtime reduction). Expertise in Flink, Spark, Airflow, DBT, Kafka, and Lakehouse architectures.
Experience
Senior Data Engineer
Jan 2024 — Present
Led cross-functional game development projects, ensuring seamless collaboration across Product, Backend, QA, and Analytics for on-time delivery.Stabilized and optimized Flink cluster to ensure high availability and robustness for large-scale workloads, enabling a 2–3% GMV uplift via Tournament Recommendation predictions.Designed and built a scalable Segmentation Service supporting both real-time and batch processing, enabling multiple microservices to dynamically drive user-specific personalization; powered ~90% of app features—from financial workflows to UI/UX customizations—through segment-based targeting.Developed RTFS (Real-Time Feature Store) to power Data Science models and segmentation use cases with ultra-low latency, updating user features in under 100ms at sub-second intervals, enabling real-time decision-making and personalization.Optimized batch segmentation pipelines, reducing feature creation time from 7 days to 1 day, accelerating feature deployment cycles, and enabling faster A/B testing and experimentation based on granular user segments.Re-architected segmentation workflow, migrating to Airflow, reducing runtime by 75%, monthly failures from 10 to 1, and incident resolution time from 24h to 1h.Achieved a 20% reduction in data processing costs through strategic performance and infrastructure optimizations.Optimized Kubernetes infrastructure, cutting costs by 30% via improved memory utilization and resource efficiency.Upskilled 20+ analytics team members in DBT and Trino for dashboard analytics.
Education
Rajiv Gandhi Prodyogiki Vishwavidyalaya
Bachelor of Engineering (B.E.), Computer Science
2015 — 2019
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