Dinesh Kumar

Product Engineer

Berkeley Heights, New Jersey, United States12 yrs 10 mos experience

Most Likely To Switch

Key Highlights

Expert in building scalable event streaming platforms.
Proven track record in real-time data processing.
Strong leadership in cross-functional team collaboration.

Stackforce AI infers this person is a Fintech Infrastructure Engineer specializing in real-time data streaming technologies.

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Skills

Core Skills

Confluent KafkaApache Flink

Other Skills

Kafka ConnectCI/CD automationInfrastructure-as-codeMonitoringObservabilityPerformance tuningAzure DevOps ServerCloudLinuxDesign DocumentsUser RequirementsDefining RequirementsAnalytical SkillsDebuggingDetailed Design

About

Lead Platform Engineer specializing in Confluent Kafka and Apache Flink, with strong experience building and scaling real-time event streaming platforms in enterprise environments. Currently driving Kafka platform engineering at Fiserv, enabling mission-critical, low-latency streaming workloads across cloud and hybrid environments. Proven expertise in designing and operating highly scalable, secure, and resilient streaming systems using Confluent platform, Kafka Connect, Schema Registry, and Flink. Experienced in delivering event-driven architectures, CI/CD automation, and infrastructure-as-code solutions while collaborating with cross-functional teams to accelerate data-driven innovation. Key focus areas: • Confluent Kafka (Cluster Management, Connectors, RBAC, Governance) • Apache Flink (Real-time stream processing & CEP) • Event-driven architecture & microservices • Cloud platforms (AWS / Azure), Kubernetes • CI/CD automation & infrastructure provisioning • Observability & performance optimization Passionate about enabling scalable streaming platforms, improving developer experience, and driving enterprise adoption of real-time data capabilities.

Experience

12 yrs 10 mos

Total Experience

1 yr 10 mos

Average Tenure

2 yrs 2 mos

Current Experience

Fiserv

Lead Kafka / Flink Platform Engineer Fiserv | Berkeley Heights, NJ

Apr 2024 – Present · 2 yrs 2 mos · New Jersey, United States · On-site

Lead the design and implementation of enterprise-grade event streaming platforms using Confluent Kafka and Apache Flink • Architect and operate scalable Kafka clusters, including topic management, partitioning strategies, and schema governance • Drive development and optimization of real-time streaming pipelines supporting mission-critical financial applications • Implement Kafka Connect frameworks for seamless integration with databases and downstream systems • Build and manage CI/CD pipelines for Kafka and Flink deployments to ensure reliable and automated delivery • Collaborate with application teams and architects to design event-driven microservices and streaming use cases • Ensure platform reliability through monitoring, observability, and performance tuning • Enforce best practices for schema evolution, data contracts, and platform governance • Lead troubleshooting and resolution of complex production issues across distributed streaming systems • Mentor engineering teams and guide adoption of streaming technologies across the organization

Confluent KafkaApache FlinkKafka ConnectCI/CD automationInfrastructure-as-codeMonitoring+2