I'm a results-driven Associate Software Engineer with extensive experience in building data-driven solutions and scalable systems. Currently pursuing my Masters in Management at University College Dublin, I specialize in data pipeline development, analytics, and backend engineering with a focus on preventing revenue losses and optimizing system performance.
- 🔭 Previous Role: Associate Software Engineer at Rakuten Symphony
- 🎓 Current: Masters in Management at UCD Dublin (Aug 2024 - Aug 2025)
- 💡 Specialization: Data Pipelines, Analytics, REST APIs, Microservices Architecture
- 📊 Impact: Prevented $4M+/month revenue losses, served 5M+ customers, achieved 85%+ code coverage
- 🌱 Learning: Strategic Management, Business Information Systems, Leadership & Organizational Behaviour
Rakuten Symphony | Associate Software Engineer (May 2022 - July 2024)
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💰 Revenue Protection
- Led development of data-driven revenue assurance model with team of 3 engineers
- Prevented potential losses of $4M+/month through advanced data analytics
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🏗️ Data Infrastructure & Analytics
- Managed large-scale data platform for telecom solutions using Java SpringBoot and Python
- Built and maintained data analytics tools for backend development teams
- Improved data quality, reporting accuracy, and development velocity across organization
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🔌 API Development & Integration
- Designed and implemented 4 REST APIs for data integration and reporting
- Integrated Revenue Assurance Model with broader data ecosystem (12 microservices)
- Employed gRPC, Protocol Buffers, and Spring Cloud for cross-platform communication
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📊 Monitoring & Quality Assurance
- Implemented comprehensive observability and monitoring framework
- Used Prometheus, OpenTelemetry, and SLF4J for distributed tracing
- Reduced MTTD by 40% and MTTR by 50%
- Established data quality standards using SonarQube, maintaining 85%+ code coverage
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👥 Cross-Functional Collaboration
- Collaborated with engineering teams to design data architecture and analytics solutions
- Contributed to technical roadmaps for scalability and performance optimization
Rakuten India | Technical Intern (Nov 2021 - May 2022)
- Developed and maintained backend data services and analytics pipelines using Python and Java
- Collaborated with cross-functional teams to design systems and build data processing tools
- Improved development efficiency across multiple projects using Linux and databases
- Gained hands-on experience with Service Oriented Architecture and data workflows
- Worked on scalable backend solutions and microservices integration for data processing
The Sparks Foundation | Java Developer Intern (June 2021 - July 2021)
- Designed and developed secure backend architecture using object-oriented programming principles, design patterns, and microservices approach.
- Implemented multi-threaded modules for payment processing with robust debugging, error handling capabilities, and RESTful API integration.
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Tech Stack: React, Node.js, Express, NASA APIs, Jest, Supertest
View on GitHub
A full-stack space exploration platform providing real-time access to NASA's astronomical data with AI-powered data analysis using Hugging Face models:
- Integrated multiple NASA APIs (APOD, Mars Rover Photos, Near Earth Objects, Image Library)
- Implemented microservices architecture with Express backend featuring advanced data visualization with analytics dashboards
- Built comprehensive data pipeline testing suite with 95%+ coverage using Jest and Supertest
- Developed real-time data processing and insights with responsive design optimized for performance
- Features: Real-time space data processing, analytics dashboards, and NASA media search with rate limiting and security middleware
Tech Stack: Scala, Akka HTTP, spray-json, sbt
View on GitHub
An advanced data-driven blog application with comprehensive backend development:
- Managed end-to-end development of data-driven blog application using SpringBoot and REST APIs
- Implemented OAuth authentication for secure user management and content analytics tracking
- Designed seamless UI/UX design patterns with database integration and reporting dashboards
- Built for optimal user experience and data-driven insights persistence
Masters in Management (Aug 2024 - Aug 2025)
- Global Strategic Management
- Business Information Systems Management
- Leadership and Organizational Behaviour
- Project Management
B.Tech in Computer Science (July 2018 - Aug 2022)
- Data Structures & Algorithms, Operating Systems
- Database Management, Computer Networks
- Artificial Intelligence, Web Programming
| Achievement | Impact |
|---|---|
| 💰 Revenue Protection | Prevented $4M+/month potential losses |
| 📊 Data-Driven Solutions | Led team of 3 engineers in revenue assurance model |
| 🔧 System Performance | Reduced MTTD by 40% and MTTR by 50% |
| 🧪 Code Quality | Maintained 85%+ code coverage across data processing projects |
| 👥 Team Leadership | Led cross-functional team of 3 engineers in data platform solutions |
| 🏗️ Scalable Systems | Built scalable data systems serving 5+ million customers |
| 📈 Research Impact | Published research in concurrent programming and data processing |
I'm passionate about data engineering, backend development, and building scalable solutions that drive business impact. Always interested in discussing technology, data architecture, and innovative engineering solutions!
📧 Email: aishikasaha160@gmail.com
💼 LinkedIn: linkedin.com/in/aishika-saha-998829180
📍 Location: Dublin, Ireland