Topic
Moving marketplace data into BigQuery, Snowflake, and Postgres — transfer setup, cost control, and the sync bugs that quietly corrupt a warehouse.
4 guides, written from real builds.
Data pipelines
Both BigQuery and Snowflake will happily hold your Amazon SP-API and Ads data — the right pick comes down to your existing stack, your query patterns, and the cost model. Here's a practical comparison aimed at Amazon sellers and agencies, not data engineers.
Data pipelines
Amazon Marketing Stream is free from Amazon's side — but it delivers into your AWS account, and that bill is real. Here's every line item Marketing Stream touches, realistic monthly ranges, and the handful of settings that keep it cheap.
Data pipelines
You've got a year of hourly Marketing Stream data piling up in S3. Nobody on the PPC team can query a raw S3 bucket. This walkthrough moves it into BigQuery automatically with the BigQuery Data Transfer Service, models it into something clean, and pipes it out to Google Sheets — no manual exports.
Data pipelines
If you call marketplace APIs for twenty seller accounts from one server, every one of those accounts shares an IP address — and marketplaces treat shared infrastructure as a signal that the accounts are related. Here's why dedicated egress IPs matter, the provisioning traps that silently give you the wrong kind of IP, and how to keep the allocation honest.
Shahzeb Khan runs Databaaba, a one-person studio that builds data pipelines & warehousing integrations for sellers, agencies, and software teams. Every guide here came out of a real client build.