Abhijeet Mamidwar

Abhijeet Mamidwar Summary Software Engineer with experience in Cloud computing, IoT systems and Big Data analytics platforms. Skilled in designing serverless architectures, developing ETL pipelines and building cross-platform mobile apps Experience • Sarvaha Pvt Ltd Pune, MH Software Engineer July 2023 - Present ◦ Re-architected the JSON data ingestion pipeline in Java over AWS Lambda, reducing compute time by 70% and cutting operational costs by 30%. ◦ Designed and built an end-to-end ETL pipeline for healthcare data, processing millions of records and generating ∼16 billion output rows in less than 20 minutes. ◦ Migrated the data analytics system to an AWS VPC environment, improving network performance and achieving a 20% faster overall system response. ◦ Integrated elastiCache at the data ingestion layer, reducing pipeline execution time by 45+minutes and cutting infrastructure costs. ◦ Developed mobile application in Flutter to control and manage IoT devices with real-time responsiveness. ◦ Designed fan-out system to reliably log all user operations across IoT devices for analytics and debugging. ◦ Built a direct device communication layer by integrating native Android Wi-Fi APIs, eliminating dependencies from third-party libraries, and improving the stability of the system. • Sarvaha Pvt Ltd Software Engineer Intern Pune, MH January 2023 - June 2023 ◦ Developed a scalable data validation module using AWS Lambda, S3 and Athena. ◦ Created a user interface for validating raw data (CSV, Parquet, Avro) against JIT-Cube technology. ◦ Integrated API Gateway, Lambda, S3, Athena, DynamoDB, and Cognito for a secure validation workflow. Education • Shri Guru Gobind Singhji Institute of Engineering and Technology • Yashwant Mahavidylaya • Cambridge Vidyalaya Bachelor of Technology in Information Technology; CGPA: 8.90 HSC Class XII; Percentage: 82.15 SSC Class X; Percentage: 95 Nanded, MH Aug 2019 – May 2023 Nanded, MH June 2018 - May 2019 Nanded, MH June 2016 - May 2017 Certifications • AWS Certified Cloud Practitioner: View Credential Projects • License Plate Recognition: Computer vision pipeline to recognize license plates from images and videos. • Bol: Developed a secure chat app with zero data storage and enhanced privacy controls. • Diary: Personal finance tracking app with analytics and CSV export capabilities. Technical Skills • Languages: Python, Java (Spring Boot), C++, JavaScript, SQL • Frameworks & Technologies: Flutter, Node.js, OpenCV, Docker, Terraform, Socket.io • Cloud Platforms: Amazon Web Services (AWS), Google Cloud Platform (GCP)