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Abhay Ravi Kumar - Software Engineer in Bengaluru, India

Abhay Ravi Kumar

Junior Software Engineer specializing in backend, cloud DevOps, and ML/NLP

HPEStony Brook UniversityBengaluru, India1 Years ExperienceJunior LevelWorks On-Site

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About

DevOps/data-automation professional with HPE experience who has deployed containerized microservices to AWS EKS and built an end-to-end observability stack (Prometheus/Grafana/CloudWatch via Terraform), reporting zero-downtime deployments and ~40% faster incident response. Also extends Python ETL automation for procurement/operations teams (rules engine, validation, performance tuning) and bridges SAP ERP data into Power BI/Qlik dashboards through close on-site user collaboration.

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Key Strengths

  • Production-like AWS EKS microservices deployments with zero-downtime rolling update strategies
  • Introduced Helm release/versioning and rollback process to reduce deployment errors and time
  • Built observability stack (Prometheus/Grafana/CloudWatch via Terraform) enabling proactive monitoring
  • Improved incident response time by ~40% through real-time dashboards and alerts
  • Cross-layer debugging (software/hardware/network) using metrics, VPC flow logs, and controlled replica moves to isolate node-level network congestion
  • Customer-specific Python ETL customization (validation + rules engine + configurable API parameters)
  • Performance optimization of ETL workflows (SQL tuning, caching, parallelization) while supporting new requirements
  • Direct on-site collaboration with procurement/operations to iteratively refine tools and dashboards

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Experience

Software EngineerHewlett Packard Enterprise · Feb 2023 – Dec 2023
SDE InternTata Elxsi · Aug 2022 – Oct 2022internship

Education

Stony Brook Universitymaster, Computer Science (2025)
RV Institute of Technology and Managementbachelor, Information Science Engineering (2023)

Languages

English

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Connect with Abhay

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Typically responds within 24 hours

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Hire with Reval

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Abhay Ravi KumarJunior Software Engineer specializing in backend, cloud DevOps, and ML/NLP