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About

DevOps Engineer with 2+ years of experience building and operating CI/CD pipelines, containerized deployments, and multi-cloud (AWS, GCP) infrastructure for production systems. Promoted twice in under two years for consistently reliable release execution and rapid troubleshooting under production pressure. Skilled in Jenkins pipeline automation, Docker containerization, Kubernetes orchestration, and cross-team incident resolution. Known for turning fragile, manual deployment processes into repeatable, low-risk release workflows.

Experience3

  1. Associate DevOps Engineer

    Apr 2026 — Present

    AppOrchid India Private Limited

    Owns end-to-end CI/CD pipeline configuration in Jenkins, eliminating manual deployment steps with repeatable build-to-release workflows. Manages AWS and GCP production deployments, diagnoses Jenkins build failures, and integrates Bitbucket and GitHub source control into CI/CD workflows. Builds Docker images and supports Kubernetes rollouts, collaborates on AI/LLM model pipeline deployment and operations.

  2. Junior DevOps Engineer

    Jan 2025 — Mar 2026

    Reachvel – AI Powered Digital Solutions

    Built and maintained 5+ production-grade AWS data pipelines supporting data lake and warehousing workflows. Designed DataFrame transformations and event-driven ingestion logic, applied cloud cost-optimization practices, improved pipeline reliability by resolving failures, and collaborated with engineering teams for production readiness.

  3. Software Engineer Trainee

    Oct 2024 — Dec 2024

    Reachvel – AI Powered Digital Solutions

    Supported Git source control workflows, executed and monitored Jenkins builds identifying and escalating failures, assisted with Docker image builds and container troubleshooting, validated deployments and flagged environment/runtime issues, and used MySQL and DBeaver for data validation during troubleshooting.

Projects6

  • Healthcare Data Lake & Data Warehousing

    Designed an AWS-based data lake architecture and built production pipelines processing 100k+ healthcare records applying DataFrame-based transformations, data modeling, and storage/query optimization for analytics-ready data.

    • AWS
    • DataFrame

  • Global Partners – Business Analytics & Data Warehousing

    Built data warehousing pipelines integrating global partner and campaign datasets with data modeling for KPI/ROI analysis. Orchestrated multi-stage pipeline execution to support regional performance analytics.

    • Data Warehousing
    • Data Modeling

  • Wistia Video Analytics Data Pipeline

    Built production pipelines for video engagement and playback data with a scalable data lake architecture optimized for cost-effective analytics at scale.

    • Data Lake
    • Data Pipeline

  • Event-Driven Lead Assignment & Notification System

    Implemented event-driven, real-time lead ingestion pipelines using streaming and orchestration patterns designed for reliable execution and delivery under production load.

    • Event-driven architecture
    • Streaming

  • Calendly Marketing Analytics

    Designed production pipelines integrating event and marketing datasets, implementing data warehousing and modeling for analytics reporting. Optimized pipeline execution for performance and cost efficiency.

    • Data Warehousing
    • Data Modeling

  • Electricity Theft Detection in Smart Grids

    Built a machine learning-based anomaly detection system to identify electricity theft patterns in smart grid data.

    • Machine Learning
    • Anomaly Detection

Education3

  • Bachelor of Technology

    2021 — 2025

    Rise Krishna Sai Gandhi Group of Institutions

    Computer Science & Engineering

  • Senior Secondary (Class XII)

    2019 — 2021

    Sri Pratibha Junior College

  • Secondary Education (Class X)

    2019 — 2019

    Vowel 14 High School