Dayanand M G
System Engineer @Tata Consultancy Services
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WORK HISTORY
System Engineer @Tata Consultancy Services
Bengaluru, IN
Data Pipeline Engineering: Architected a custom Node.js connector (ArticleProcessor) to ingest, normalize, and transform high-volume article data for downstream analytics systems- High-Concurrency APIs: Developed scalable REST APIs for real-time content processing and retrieval, ensuring stable performance and efficient request handling in production environments- System Reliability & Fault Tolerance: Enhanced uptime by implementing structured logging, advanced error handling, and automated retry mechanisms to minimize processing failures- Workflow Automation: Partnered with cross-functional teams to integrate automated content workflows, reducing manual operational effort by 60% and increasing data throughput.
EDUCATION
HKS pre university college, Hassan
PCMC, Science
Adichunchanagiri Institute of Technology
Bachelor of Engineering - BE, Computer Science
ABOUT DAYANAND M G
Most software is built to work; I build it to scale. I specialize in high-performance engineering, bridging the gap between pixel-perfect user interfaces and robust, high-volume data pipelines that prioritize sub-100ms responsiveness and 99.9% system uptime.At PwC as our client, I architected a custom Node.js ingestion engine (ArticleProcessor) that automated high-volume data transformation, reducing manual operational effort by 60% and improving data quality for downstream analytics. I brought this same \"Performance-First\" mindset to MediFlow, a healthcare SaaS dashboard where I engineered a serverless Firestore pipeline to deliver real-time, OS-level patient alerts via VAPID-secured push notifications. My background includes building high-stakes dashboards at TCS (Analog Devices client), where rendering efficiency and data-grid stability were mission-critical.My philosophy: Reliability is a feature, not an afterthought. Whether I’m designing a schema normalization process to ensure data integrity or implementing React memoization to maintain 60fps on a data-heavy grid, my goal is to eliminate bottlenecks. I prioritize \"Operational Efficiency\" implementing structured logging, retry mechanisms, and error-resilient code to ensure systems remain performant under concurrent load.Production Stack: React, TypeScript, Node.js, Express, Firebase/Firestore, MongoDB, SQL, Genesys, ServiceNow, REST API Design.Expertise: System Architecture, Data Pipeline Automation, Performance Profiling (TTI/LCP), and Web Push Protocols.If you’re building a high-impact platform that requires both scalable data processing and a seamless user experience, let’s connect.Email: m••••••••@gmail.com
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