A CV parsing pipeline stops being a parser the moment a score sorts a list. Where Textract and Bedrock actually fit, why redacting names does nothing for bias, and what to document before anyone asks you to explain a ranking.
Three CRM records, one person, and nothing in the logs to explain it. A practical walkthrough of what actually breaks when you unify Shopify, Stripe, CRM and support data: guest-checkout identity, duplicate and out-of-order webhooks, revenue that never ties to payouts, deletion requests that miss half your copies, and reverse ETL write loops. Organized by failure family, with schema and handler patterns you can apply directly.
Adding another account to a bucket policy takes one line and delegates far more than most people realize. A practical look at AWS cross-account data sharing: the delegation model, the KMS gaps, object ownership, references versus copies, and the guardrails that catch the mistake you will eventually make.
Encryption is the part everyone gets right. The PHI sitting in your logs, dead letter queues and object key names is the part that fails an audit. A boundary-by-boundary guide to building a medical lab data pipeline on AWS that survives review.
Valid JSON is not correct data. A practical guide to extracting clauses, parties, dates and obligations from contracts with Amazon Bedrock: the two build paths, schema design, the three failure families that produce confident wrong answers, and the validation layer that catches them.
A layer-by-layer architecture for a construction dispute intelligence platform: hashed intake and immutable originals, OCR with page coordinates, a versioned Primavera P6 schedule plane, an event model that joins documents to activities, hybrid retrieval on pgvector, and a generation layer bounded by human confirmation. Written around what each layer prevents.