Nirpendra Nath Mishra

Engineered robust backend data pipelines using Python (Pandas, SQLAlchemy) and Node.js, automating ingestion, transformation, and storage of large-scale marketing datasets.

Designed and optimized ETL workflows with Apache Airflow and BigQuery, reducing data latency by 40% and improving reporting reliability.

Developed RESTful APIs to unify and serve campaign data from Google Ads, Meta, and DV360, enabling seamless integration for analytics teams.

Implemented Docker-based microservices architecture, deploying scalable services via CI/CD pipelines on Google Cloud Platform (GCP).

Integrated observability solutions (Prometheus, Grafana) to monitor pipeline health and backend performance, ensuring high system availability and rapid incident response.

Contributed to backend infrastructure for Jio Cinema, building scalable Node.js and TypeScript APIs and services to ensure 99.9% uptime during high-traffic events like IPL 2023.

Leveraged OpenAI GPT fine-tuned models to automate backend test case generation, achieving 90% accuracy and cutting manual effort by 70%.

Automated backend testing for Jio Meet web services using Selenium, Karate, and Cucumber, increasing test coverage by 58% and detecting over 200 defects.

Integrated CI/CD pipelines for backend deployments, reducing release cycle time by 30% and enhancing deployment reliability.

Implemented backend monitoring and logging tools to proactively identify bottlenecks, resulting in a 25% improvement in average session duration.

Developed and maintained backend modules for a hotel reservation system using Spring Boot and MongoDB, supporting 1,500 concurrent users with zero downtime.

Optimized API endpoints and database queries, achieving real-time updates and boosting user engagement by 40%.

Created automated backend testing scripts, halving manual QA time and increasing defect detection rate by 30%.

Architected and implemented scalable NoSQL database structures, improving data retrieval speed by 20%.

Participated in backend code reviews, enforcing best practices and elevating code quality by 25%.