Built an end-to-end football analytics system using YOLO object detection and OpenCV to track players, detect ball position, estimate speed, and distance. Applied perspective correction and player clustering for team identification and performance metrics.
A modular ETL pipeline using PySpark that reads from JSON, Parquet, and Avro sources via the factory pattern. Business logic is applied before writing the transformed data to sinks like Parquet, DBFS, or other storage systems.
Built a Dockerized real-time data pipeline using Kafka, Spark, and Cassandra to ingest and process user logs. Implemented schema validation with Confluent Registry and enabled Kafka monitoring via Control Center.
Built a Dockerized real-time data pipeline using Kafka, Spark, and Cassandra to ingest and process user logs. Implemented schema validation with Confluent Registry and enabled Kafka monitoring via Control Center.
Built a Dockerized real-time data pipeline using Kafka, Spark, and Cassandra to ingest and process user logs. Implemented schema validation with Confluent Registry and enabled Kafka monitoring via Control Center.