Can you describe your experience building data infrastructure for farmers using AWS services such as Airflow, Redshift, Flink, S3, and CI/CD pipelines?
💡 Model Answer
I built a data platform for a farming cooperative that collected sensor data from fields. We used S3 as the landing zone, Airflow DAGs to orchestrate batch jobs, and Flink for real‑time processing of irrigation logs. Processed data was stored in Redshift for analytics and reporting. CI/CD was implemented with CodePipeline and CodeBuild, deploying Airflow DAGs and Flink jobs via Docker containers. We also used Glue for ETL and Athena for ad‑hoc queries. The pipeline ingested data every 5 minutes, performed cleaning, and updated dashboards in near real‑time, enabling farmers to optimize water usage.
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