Azure Certified Fundamentals

Bachelor’s Degree

Specialized in DevOps at Marks & Spencer (UK), building Java-based backend applications, creating CI/CD pipelines, and managing scaled Kubernetes deployments on Azure for improved agility and infrastructure reliability.

Migrated legacy applications from monolith to microservices architecture, enhancing system robustness and modularity for the M&S marketing platform.

Engineered high-performance REST and GraphQL APIs with response times under 3 ms, optimizing user experience and backend efficiency.

Built a message-consuming system with advanced filtering and offer assignment logic, capable of processing up to 120 transactions per second (TPS), storing results in MongoDB.

Launched the "Instant Win" feature, a transaction-based promotional engine that made real-time purchases free, gaining significant user traction and market buzz.

Resolved critical production incidents, including restoring full application functionality from crashes with minimal downtime, ensuring uninterrupted user 

Backend Developer | TCS

Submitted an IoT - AR project.
Tech stack - Unity, Arduino, PHP, MySQL, C#, Unity Vuforia

Internship - IoT & Augmented Reality

Led the design and development of microservices-based backend systems using Java, Spring Boot, Spring Integration, MongoDB, and Kafka. Deployed on both Kubernetes and virtual machines, it supported over 30 interconnected services with smooth communication and high reliability.

Implemented Tiered Storage Architecture resulting in $50,000/month in cost savings and significantly boosted transaction throughput (TPS).

Processed and corrected 2.5+ billion MongoDB documents using Java, orchestrated through Kubernetes, enabling efficient bulk updates and validation across environments.

Engineered a scalable dashboard using Python, Flask, and Kubernetes, integrated with the GitHub API to crawl 600+ applications, providing end-to-end visibility into deployment health, feature progress, and infrastructure information.

Built full-stack analytical platforms with Python, Dash, and Pandas for Walmart’s Sales Report — empowered teams with real-time graphing, efficient data filtering, and actionabl

Software Engineer - III

At Maersk, I’m part of the team building high-performance backend systems that power real-time logistics and container operations across ports, vessels, and yards worldwide. Our platform integrates and processes massive streams of data from diverse sources to provide accurate, low-latency insights for global supply chain visibility.

Key technologies and responsibilities include:

 Designing and implementing microservices in Java and Spring Boot, optimized for scalability and reliability.

  Using Temporal to orchestrate distributed workflows, ensuring data consistency and fault tolerance across services.

  Developing event-driven pipelines with Kafka for real-time data ingestion and inter-service communication.

  Leveraging PySpark and Databricks for large-scale data transformation, aggregation, and analytics.

  Collaborating across cross-functional teams to streamline data modeling, integration, and monitoring of core logistics systems.

By combining stream processing, distributed

Sahanshah K

Engineer @Maersk | Building on the side