I will build a production gcp data pipeline with bigquery and dataflow

Your data pipeline is slow, expensive, or breaks silently and you're tired of debugging it at midnight.

I build production-grade GCP pipelines that process 10TB+ daily without breaking a sweat.

WHAT I'VE BUILT:

26TB ClickHouse cluster (136B rows, 14ms queries)

Real-time Kafka Go ClickHouse ingestion

GCP pipelines: Cloud Function Pub/Sub Dataflow BigQuery

BigQuery partition + cluster optimization (80% cost reduction)

WHAT YOU GET:

End-to-end GCP pipeline (Cloud Storage Dataflow BigQuery)

Serverless compute (Cloud Run / Cloud Functions)

Python + SQL production code

Monitoring, error handling, DLQ

Documentation + 30-min handover call

WHY ME:

I don't just write code I own reliability

Production experience, not tutorial experience

I'll tell you what NOT to do (saves you money)

Let's build a pipeline that actually works. Message me before ordering.