About
Highly motivated Master's in Computer Application candidate with comprehensive experience in backend development and data engineering. Proven ability to design scalable APIs, optimize ETL workflows, and implement robust microservices, contributing to significant improvements in system performance, data accuracy, and operational efficiency. Eager to leverage expertise in Node.js, Python, and cloud platforms to build innovative solutions and drive impactful results in a dynamic tech environment.
Work
→
Summary
Currently engineering robust backend data pipelines and optimizing ETL workflows to automate large-scale marketing data ingestion and improve reporting reliability.
Highlights
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.
→
Summary
Contributed to backend infrastructure for Jio Cinema, focusing on scalable APIs, services, and test automation to ensure high uptime and efficiency.
Highlights
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.
→
Summary
Developed and maintained backend modules for a hotel reservation system, optimizing API performance and implementing automated testing.
Highlights
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%.
Education
Skills
Programming Languages
JavaScript (TypeScript, Node.js), Python, Java, C++, Solidity.
Technologies & Frameworks
React, Angular, Spring Boot, Google Cloud Platform (GCP), AWS, Docker, Selenium, Karate, Cucumber, MongoDB, Express.js, Apache Airflow, BigQuery, Prometheus, Grafana, PancakeSwap API.
Databases & Tools
MongoDB, SQLAlchemy, NoSQL, Pandas, Google OAuth 2.0.
Software Development
Microservices Architecture, RESTful APIs, CI/CD Pipelines, Test Case Generation, Automated Testing, Backend Development, Data Pipelines, ETL Workflows, System Monitoring, Logging, Code Review, Data Structures, Algorithms.