Sumit Soreng
@sumitsoreng
I build scalable Java backend systems for high-volume event processing.
What I'm looking for
At Amdocs supporting AT&T, I build production backend systems that process high-volume fallout events and customer compensation workflows.
I built Kafka and Spark Streaming ingestion pipelines for 18+ upstream systems, persisting events in Cassandra and PostgreSQL. I also enriched events with MNP, SLA, and severity data through Drools rules and reduced fallout resolution time by 40% with bulk retry and bucket-based resolution.
I developed a Java and Spring Boot batch engine that automates compensation for 100K users daily, processing 20K+ events in under five minutes while eliminating critical timeouts.
I take backend initiatives from design through Kubernetes deployment and production incident resolution. I enjoy building resilient distributed microservices, asynchronous workflows, and reliable event-driven systems.
Experience
Work history, roles, and key accomplishments
Built scalable exception ingestion pipelines using Kafka and Spark Streaming to process fallout events from 18+ upstream systems. Reduced fallout resolution time by 40% by building retry and bucket-based mass resolution.
Education
Degrees, certifications, and relevant coursework
Birla Institute of Technology, Mesra
Bachelor of Technology, Electronics and Communication Engineering
Grade: 7.8
Bachelor of Technology in Electronics and Communication Engineering with a GPA of 7.8.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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