Abhishek Kumar

Developed microservice for seamless data integration into Iceberg and Snowflake.

• Objective: Build a robust microservice to automate the ingestion and processing of data from various sources, ensuring seamless integration, and efficient data storage for business analytics.
• Technology Stack: Apache Camel, Java, Spring, Snowflake, FLAG, Alamo.

Enhanced reporting functionality with innovative microservice solution.

• Objective: Replace the manual and time-consuming report generation process with an automated solution, enabling business owners to access pre-generated data without navigating the dashboard.
• Technology Stack: Java, Spring Boot, Apache Camel.

Project: Data Upload and Retrieval Service with Java, MongoDB, and Spring (Jio-Clouds)

• Objectives: Designed to store large volumes of data in GCS, the project aimed to facilitate easy retrieval of data based on user-defined criteria. The service was built to ensure high performance, security, and flexibility for future enhancements.
• Technology Stack: Java, MongoDB, Spring Framework, and Google Cloud Storage (GCS).
• Additional information: Integrated data encryption and implemented access control measures to ensure data security and compliance with industry regulations.

Project: Training Service Application for Sales Officers (Ajio).

• Objectives: The project aimed to enhance the training experience for sales officers by providing a seamless, automated training assignment process. The focus was on optimizing video uploading to Akamai to accommodate large-sized videos, while monitoring the service's health and performance.
• Technology Stack: Java, Spring Boot, Akamai, Swagger, and Grafana.

Project: Listings Mapping and Data Management.

• Objectives: The project aimed to rectify the mapping discrepancies with partner listings, resulting in a complete and accurate database. The focus was on automating the data management process, reducing manual intervention, and optimizing database operations for improved performance.
• Technology Stack: PHP, Laravel, MySQL, and Grafana.

Project: Migrated the PHP-based Map View service to the React-based service.

• Objectives: Implement many core functionalities, such as session handling and event tracking. Fix the stability of the new service by solving OOM errors (check for memory leaks by taking a heap dump from Kubernetes pods). Reduce the latency of many APIs to a greater extent.

Project: Implement New Feature - Combo Listings.

• Description: A combo listing is an entity (apartment) with one or several units, sharing the same properties and facilities for each unit (flat, room, etc.).
• Objectives: Implement functionality to show the minimum prices among all units for a particular entity on SRL. Prepare data that needs to be shown for units on the PDP (Product Description Page).