Aditya Kumar
@adityakr
Software Engineer (Python, AWS Developer) at KONE Elevator India Pvt. Ltd.
Pune, Maharashtra, India
A highly motivated Software Engineer with 3+ years of experience specializing in backend development and cloud-based solutions. Proficient in Python, Node.js, and cloud platforms including AWS and Azure. Skilled in designing scalable APIs, microservices architecture, and full-stack development. Strong knowledge of software engineering best practices, system design, CI/CD pipelines, database optimization, and production-grade application support. Experienced in deploying secure and high-performance web applications while collaborating with cross-functional teams, including product managers, UX designers, and data engineers.
Experience
Software Engineer (Python, AWS Developer)
KONE Elevator India Pvt. Ltd.
Designed and maintained scalable microservices architecture using Python and RESTful APIs, enhancing system performance and modularity. Implemented robust API security and architecture best practices, minimizing downtime and strengthening overall system reliability. Automated deployment pipelines using CI/CD best practices, improving code release efficiency. Optimized cloud infrastructure (AWS, Azure) to reduce operational costs and enhance performance. Implemented monitoring and logging using AWS CloudWatch, improving system observability.
Software Engineer (Python/AWS Developer)
Futops Technology India Pvt. Ltd.
Designed scalable RESTful APIs using Python (FastAPI, Flask) to support high-traffic applications. Built an ETL data pipeline processing image and video data from AWS S3, utilizing AWS Lambda and Step Functions. Led cross-functional teams in designing and developing interactive web applications using Node.js, Python, FastAPI, GraphQL, and AWS AppSync, achieving 30% improvement in data retrieval efficiency. Implemented Infrastructure as Code using Cloudformation and automated deployments via AWS CircleCi, and GitHub Actions. Spearheaded real-time data analysis using AWS, GCP, and Google BigQuery, optimizing data retrieval efficiency by 30%. Conducted API performance tuning, reducing response latency and improving system throughput.
Software Engineer Trainee (Python Developer)
Great Software Laboratory Pvt. Ltd.
Built secure login and authentication APIs with Flask, FastAPI, and MongoDB. Streamlined Microservice deployment by implementing Docker containers, reducing deployment time by 30%. Automated tasks with a subscription-like Node.js API, decreasing manual task handling by 30%. Collaborated with UX designers to enhance API usability for front-end applications.
Education
Maulana Abul Kalam Azad University of Technology
Bachelor of Technology
Computer Science and Engineering