Help & Supportcareers@gravityer.com
Cloud DevOps Engineer with less than a year in AWS & Azure
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Cloud & DataOps Engineer and current DataOps Associate Intern at Sigmoid Analytics, specializing in building scalable cloud infrastructure and robust data pipelines. Proficient in designing production-ready Databricks environments utilizing Medallion Architecture and Delta Lake to optimize data processing workflows. Strong expertise in automating deployment pipelines, managing containerized workloads, and implementing Infrastructure as Code (IaC) using AWS, Azure, Docker, Kubernetes, Terraform, and CI/CD toolchains. Recognized for strong system-level thinking and a proactive approach to delivering reliable, low-latency engineering solutions.
Government Polytechnic, Udupi
Diploma · Mechanical Engineering
N/A – June 30, 2022
R V Institute of Technology and Management, Bengaluru
B.E. · Computer Science and Engineering
N/A – June 30, 2025
Sigmoid Analytics
DataOps Associate intern
December 1, 2025 – Present
India
Real-Time Fraud Detection System
December 1, 2025 – December 31, 2025
Engineered an event-driven data pipeline utilizing Apache Kafka to handle live transaction streaming with minimal latency. Integrated an XGBoost machine learning model with a rule-based scoring engine to analyze incoming transactions and detect fraudulent patterns in real time. Developed a responsive React dashboard backed by MongoDB to provide live monitoring, instantaneous alert generation, and transaction history tracking.
Expense Reimbursement Portal
November 1, 2025 – November 30, 2025
Architected a full-stack financial workflow engine tailored for BFSI use cases, featuring automated employee claim submissions and multi-level approval hierarchies. Implemented robust role-based access control (RBAC) to deliver secure dashboards for admins and employees, complete with automated audit trails and an internal ticketing system. Deployed a production-ready application on Vercel and Render, utilizing Cloudinary for secure, persistent digital receipt storage and processing.
Cultural Fit Analysis
The candidate's projects demonstrate an interest in diverse areas like real-time fraud detection and financial workflow engines, indicating adaptability. The internship at Sigmoid Analytics aligns well with the target role, showing a commitment to cloud and DevOps practices. The breadth of technical skills listed (AWS, Azure, Docker, Kubernetes, Terraform, Kafka, Databricks, Python, Node.js, FastAPI) suggests a willingness to learn and work across different technologies, which is beneficial for a dynamic DevOps environment. However, the candidate is still pursuing their B.E. and has limited professional experience, which might impact their immediate cultural integration into a senior role.
Soft Skills & Operational Fit
The candidate's professional summary highlights strong system-level thinking and a proactive approach, which are positive indicators for problem-solving and initiative. The internship description mentions building and presenting production-level solutions under continuous technical evaluation, suggesting an ability to handle feedback and iterate. However, without direct interview data or psychometric test results, a comprehensive assessment of soft skills like teamwork, stress handling, and communication clarity is limited.