Prabhansh Singh — Product Manager

Experienced Data & Platform Architect with 12+ years of expertise in designing scalable, cloud-native data systems and real-time processing pipelines. I specialize in architecting end-to-end platforms across AWS and GCP, enabling high-throughput data ingestion, lakehouse-style analytics, and automated reporting at scale. I’ve led initiatives across the full data lifecycle — from ingestion (Kafka, DMS, Kinesis), to transformation (Spark, Airflow, Glue), to serving (Hudi, Redshift, BigQuery, Looker). My recent work includes building a real-time data lake with Apache Hudi on S3, orchestrating EMR pipelines using Airflow, and implementing cross-cloud data sync from AWS to GCP with DataStream and VPC tunneling for executive reporting in Looker. I’m passionate about system design, cost-aware architecture, and building platforms that balance performance, governance, and maintainability. I thrive at the intersection of data engineering and platform reliability — translating complex business needs into modular, production-grade systems.

Stackforce AI infers this person is a Data Architect specializing in cloud-native solutions and real-time data processing.

Location: Gurgaon, Haryana, India

Experience: 13 yrs 2 mos