API to CSV Pipeline (Kafka/MinIO)
An end-to-end data pipeline utilizing Apache Kafka for real-time streaming and MinIO for durable object storage.
Technical Overview
This project explores the challenges of real-time data ingestion from high-frequency REST APIs. I designed a Kafka-based producer/consumer pipeline to decouple data ingestion from storage processing, ensuring no events are lost under significant load.
The architecture utilizes a custom Python producer to stream data into Kafka topics, while a consumer group handles the transformation into partitioned CSV files. These are then persisted in MinIO, providing an S3-compatible, fault-tolerant sink ready for downstream analytical workloads.
Project Outcomes
- Architected a decoupled producer/consumer system to handle high-concurrency data streams.
- Developed custom retry logic and rate-limiting handling for third-party API stability.
- Implemented partitioned storage in MinIO to optimize query performance for downstream analytics.
- Configured the pipeline to handle back-pressure gracefully, ensuring system resilience during traffic spikes.