Hasan Adeeb

Built a production-grade data orchestration platform using Spring Boot and Apache Spark, enabling distributed in-memory processing for millions of records across 10K+ daily pipeline runs. Developed RESTful APIs and event-driven microservices for pipeline scheduling and a scalable worker execution system. Worked on building the Pipeline Queue Service, ensuring thread-safe ingestion and execution of pipeline runs by the worker. Built the Kafka producer layer for the notification system, publishing pipeline success/failure alerts enriched with metadata. Improved and optimized SQL- and Python-based data pipeline scripts, achieving a 50%+ reduction in runtime and significantly reducing pipeline failures.

Built the front-end for Data Forge using React.js, Chakra UI, and TanStack Query, focusing on pipeline creation and management flows. Developed reusable, theme-aware UI components with dark mode, accelerating feature rollout and ensuring visual consistency. Implemented pipeline creation and editing workflows using Formik and JSON schema validation, enabling smooth and error-free user interactions. Contributed to UI development for features such as the notification system, dataset service, JSON spec validation, and log visualization.