Pipeline review / code feedback

Built a pipeline but not sure if it's actually production-ready? I work with Redshift, BigQuery, Kafka, Flink, Airflow, and Apache Iceberg in production every day. I'll review your ETL/ELT pipeline, Airflow DAGs, or data architecture and tell you exactly what to fix — performance bottlenecks, reliability issues, schema design, best practices. No vague feedback, just specific things to change. Great for juniors building their first production pipeline or anyone preparing for a data engineering interview who wants their project reviewed.