Snigdha Rao
Software Engineer @Techwave
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WORK HISTORY
Software Engineer @Techwave
Houston, TX, US
Working on enterprise-scale backend and cloud data platforms supporting end-to-end data processing, analytics delivery, and deployment.• Developed backend Java applications to ingest, validate, and process large volumes of structured and semi-structured data from cloud storage, improving overall processing efficiency by 30%.• Designed scalable data storage and access layers using GCP BigQuery, Cloud Storage, JDBC, and SQL to support analytics dashboards and reporting services.• Improved backend system performance through optimized SQL queries, indexing strategies, and refined application logic, resulting in a 35% performance increase.• Built fault-tolerant execution mechanisms to ensure reliable handling of high-volume enterprise data workloads.• Streamlined service reliability by standardizing large input handling and automating build, test, and deployment pipelines using CI/CD tools.• Reduced manual deployment effort by 40% while supporting scalable, production-ready releases in Agile environments.
EDUCATION
Stevens Institute of Technology
Master's degree, Computer Science
Kakatiya Institute of Technology & Science, Yerragattu Hillocks, Bheemaram, Hasanparthy, Warangal
Bachelor's degree, Computer Science
KAKATIYA INSTITUTE OF TECHNOLOGY AND SCIENCE
Computer Engineering
ABOUT SNIGDHA RAO
I am a Software Engineer specializing in backend development, cloud data platforms, and AI-powered automation solutions.Currently working at Techwave Consulting, I build scalable backend systems that process, validate, and transform large volumes of structured and unstructured data for enterprise analytics and reporting platforms.My experience spans:• Backend Application Development (Java, Spring Boot, Python, FastAPI)• Cloud Data Platforms (GCP BigQuery, Cloud Storage)• REST API Design & Multi-Step Workflow Orchestration• AI Agent Development using LLM-based solutions• Data Processing & Query Optimization• CI/CD Automation & Production DeploymentsI have contributed to enterprise-scale systems by improving: Data processing efficiency Backend performance Query execution speed Deployment automationFrom building AI agents that extract insights from unstructured documents to developing scalable data ingestion pipelines, I enjoy working at the intersection of backend engineering, cloud platforms, and intelligent systems.My goal is to design systems that are reliable, scalable, and capable of transforming raw data into actionable insights.I am particularly interested in opportunities involving:• Backend Platform Engineering• Cloud Data Systems• AI-Driven Automation• Distributed Applications
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