Jayasmita Priyadarsini

About Jayasmita Priyadarsini

A results-driven Kafka & Streaming Platform Engineer with hands-on experience in building, scaling, and maintaining mission-critical real-time data infrastructure for global banking and trading environments. I bring deep expertise in Apache Kafka (Confluent 7.9.2) and surrounding ecosystem components like Broker,Schema Registry, Connect, Control Center, and ZooKeeper, ensuring seamless data flow, reliability, and high availability across multi-region clusters.My core strength lies in end-to-end Kafka lifecycle management — from cluster design, broker/topic administration, upgrades, and monitoring, to implementing zero-downtime migrations and disaster recovery (DR) across environments.• Having extensive experience in infrastructure automation, monitoring, and CI/CD tooling — leveraging Ansible, SaltStack, Harness, Venafi, Prometheus, Grafana, Splunk, Extrahop, and C3 to drive operational excellence and observability. • Successfully driving Confluent Platform upgrades (v7.3.11 → v7.9.2) with zero data loss and full backward compatibility. • Spearheaded RHEL 7 → RHEL 8 migration for production clusters with rigorous pre-validation and rollback mechanisms. • Designed and validated multi-region DR strategies and cross-cluster replication to ensure data resilience and business continuity. • Implemented CI/CD pipelines using Harness and automated release workflows with SaltStack, enabling faster and safer deployments. • Collaborated with Dev, QA, and Platform teams to troubleshoot high-severity production incidents, ensuring SLA adherence and rapid recovery.With a foundation in Linux administration, cloud deployments, and load-balancing, I thrive in hybrid cloud environments that demand reliability, scalability, and speed.

Experience

1. Site Reliability Engineer

   Wipro

   Nov 2021 — Present · Bengaluru, IN

   Delivering enterprise-grade real-time data streaming infrastructure for Charles Schwab(US), focusing on Apache Kafka (Confluent Platform) to enable reliable, scalable, and low-latency data pipelines supporting trading and analytics systems.Key Contributions & Achievements:• Kafka Infrastructure Deployment & Administration: Installed, configured, and maintained Kafka clusters (Confluent v7.3.11 → v7.9.2), ensuring high availability, optimized throughput, and secure inter-component communication.• Cluster Management: Managed brokers, topics, partitions, replication, and ACLs; automated provisioning and scaling using Ansible and custom YML scripts.• Platform Upgrades: Led a seamless Confluent upgrade (Kafka Brokers, ZooKeeper, Schema Registry, Connect, Control Center) with zero downtime, ensuring data consistency and backward compatibility.• Operating System Migration: Spearheaded a critical RHEL 7 → RHEL 8 migration for production servers through phased rollout, regression testing, and performance validation to ensure system stability.• Monitoring & Observability: Migrated and consolidated the Application Performance Monitoring (APM) stack to a centralized ID platform using Prometheus, Grafana, Splunk, Extrahop, and C3, improving visibility and reducing mean-time-to-resolution (MTTR).• Incident & Production Support: Proactively identified root causes and implemented permanent fixes for Kafka consumer lag, broker unavailability, replication imbalance, and network bottlenecks to ensure SLA adherence.• CI/CD Automation: Designed and supported CI/CD pipelines using Harness, automated release workflows with SaltStack, and deployed changes on Cloud Foundry for distributed systems.• Disaster Recovery (DR) Implementation: Developed and validated cross-cluster replication, backup routines, and failover strategies to ensure business continuity and data integrity across regions.• Collaboration : Partnered with development, QA, and DevOps teams to manage releases.

Education

• Saraswati Vidhya Mandir

  MATRICULATION

  2006 — 2016

• Ravenshaw University

  Bachelor of Science - BS, Information science Telecommunication

  2018 — 2021

• RAMADEVI WOMEN'S UNIVERSITY

  INTERMEDIATE, Mathematics and Computer Science

  2016 — 2018

• BITS Pilani Work Integrated Learning Programmes

  Master of Technology - MTech, System software