Built Python ETL pipelines using Pandas, PyArrow and Apache Spark to process transactional data, store it as columnar Parquet, and load analytical datasets into Google BigQuery.
Developed the real-time pricing service in Java Spring Boot, automating price optimisation based on inventory, demand and competitor pricing, using Apache Kafka and Redis.
Implemented price-prediction models with Scikit-learn and XGBoost, with the stack containerised using Docker over MySQL.