PRAGATI PANDEY
About Candidate
Software Development Engineer with experience building backend services, REST APIs, monitoring platforms, event-processing systems, and distributed applications using Python, Flask, Node.js, PostgreSQL, and Docker. Experienced in developing scalable software solutions, designing backend workflows, implementing CI/CD pipelines, and optimizing system performance.
Strong understanding of software development life cycle (SDLC), system design principles, testing methodologies, microservices architecture, distributed systems, and operational excellence. Hands-on experience building reliable and maintainable software systems that support large-scale data processing and monitoring workflows.
Location
Education
B.Tech in Electronics & Communication Engineering
SRM Institute of Science and Technology | 2019 – 2023
Work & Experience
Designed and developed backend systems for telemetry collection, event processing, and monitoring workflows in Python.
Engineered Python-based event-processing pipelines handling 100k+ daily network telemetry events with sub-second ingestion latency.
Developed REST APIs supporting telemetry ingestion, event processing, and reporting workflows.
Implemented centralized ELK Stack logging pipelines across 15+ backend services, reducing mean time to detection (MTTD) by 30%.
Built monitoring dashboards for operational visibility, analytics, and proactive issue detection.
Containerized backend services using Docker to standardize deployment and testing across environments.
Optimized PostgreSQL database queries and API endpoint logic, improving backend throughput by 25%.
Collaborated with cross-functional engineering teams to improve scalability, monitoring, and operational efficiency.
Design and develop 10+ REST APIs and backend microservices using Python, Flask, and PostgreSQL, maintaining 99.9% uptime for operational applications.
Build scalable data processing and automation workflows, reducing manual execution time by 40% across recurring operational tasks.
Develop event-processing and monitoring components powering analytics and reporting workflows.
Implement API integrations, backend validation mechanisms, and data processing pipelines for production systems.
Develop Python ETL pipelines to extract and transform 50,000+ WordPress and WooCommerce records, achieving 98%+ data extraction accuracy.
Containerize microservices with Docker and establish CI/CD pipelines, cutting deployment cycle times by 35%.
Build monitoring and visualization dashboards using Elasticsearch and Kibana for real-time operational insight.
Collaborate cross-functionally to improve application performance, maintainability, and reliability.
Skills
Python
React.js
Full Stack Development
Linux
Docker
Awards
Achievement: 2nd Place, Best Multidisciplinary Project — Built a computer-vision-based license plate recognition and smart-parking system using Python, OpenCV, IoT, and Arduino for real-time monitoring and allocation across 50+ parking slots.