Headline

MTS-2 @ Nielsen | Cloud Architecture & Data Systems | Event-Driven Pipelines | AWS EKS, Java 17, Spring Boot

About

Backend and Cloud Engineer at Nielsen with 5+ years building large-scale data processing systems on AWS. What I do now: • Sole-architected a centralized Data Quality platform (200+ validation rules, 562K records in 18s) — adopted by 5 teams across the organization without any push from me • Migrated a legacy media pipeline from on-prem JBoss to event-driven AWS (Lambda, Step Functions, EKS), cutting processing from 4 hours to 12 minutes • Reverse-engineered proprietary closed-source systems to rebuild them cloud-native with 99%+ accuracy • Manage production EKS clusters, RDS cost optimization ($12K/year savings), and zero-downtime infrastructure upgrades Previously at Accenture (3.5 years) delivering Java backend systems for British Telecom and Thales. Core stack: Java 17, Spring Boot, AWS (EKS, Lambda, Step Functions, S3, RDS), Kubernetes, PostgreSQL, Kafka, GitLab CI/CD Open to Senior/Staff Backend Engineering roles focused on distributed systems, cloud architecture, and platform engineering.

Location

Greater Bengaluru Area

AI stack

anthropic apis

antigravity

claude code

claude

gemini

kiro

Work experience

Member of Technical staff - 2 at Nielsen, Aug 2024 - Present · 2 yrs 1 mo, Bengaluru, Sole architect and engineer for cloud-native data platforms in Nielsen's National TAM Reporting division. Independently own system design, implementation, production deployment, and operations. Key deliverables: • Designed and built NDF-DQC — a centralized Data Quality platform with 200+ configurable rules, SQL-like DSL engine, and REST API. Adopted by 5 teams as organizational standard. • Single-handedly migrated AMRLD processing system from on-prem JBoss/EJB to event-driven AWS (SNS → SQS → Lambda → Step Functions → K8s Jobs). Reduced processing from 4 hours to 12 minutes. Eliminated idle infrastructure costs. • Reverse-engineered proprietary closed-source stat engine (decompiled 15+ JARs), achieved 98.5-99.9% field-level accuracy in cloud rebuild. • Migrated 200+ daily/weekly media reference jobs producing 100M+ records/week across 189 output files. • Executed zero-downtime EKS AMI upgrades across 110+ production pods. • Identified $12K/year in RDS cost savings through Graviton migration analysis. • Reduced legacy system incidents from 22 to 6 per sprint (73% reduction).

Application Development Analyst at Accenture, Jun 2023 - Aug 2024 · 1 yr 3 mos, Bengaluru, Led Java backend modernization for enterprise telecom clients (British Telecom, Thales). Promoted from Associate within 2 years based on delivery performance. • Led upgrade of legacy codebases to Java 8, improving security and system efficiency across multiple production environments • Partnered directly with international clients for requirement analysis and Agile delivery of new functionalities • Owned full software lifecycle: development, testing, debugging, integration, and deployment • Received Accenture Celebrates Excellence award for consistent performance and core values

Associate Software Engineer at Accenture, Mar 2021 - Jun 2023 · 2 yrs 4 mos, West Bengal, India, Developed and maintained Java-based backend systems for enterprise clients following coding standards and Agile methodologies. Built foundation in web application development, CI/CD pipelines, and cloud fundamentals.

Technical Support Engineer at KocharTech, Sep 2019 - Nov 2019 · 3 mos, Kolkata, West Bengal, India

Education

Bachelor of Technology (B.Tech.), Computer Science, Maulana Abul Kalam Azad University of Technology, West Bengal formerly WBUT

ISC, Science, De Nobili School