Loading section...

Late Trade Settlements

Concepts covered: paReconciliation, paStreamingPlusBatch, paLateData

A capital-markets data platform delivers per-symbol minute bars to algorithmic trading desks. The bars must be available within seconds of the minute closing. They must also be reconcilable to the firm's official settlement system within audit tolerance. Trade fills sometimes settle late: cross-border trades that book through a foreign settlement window can land back-dated by a full business day. The design composes a streaming pipeline, a schema policy, and a reconciliation pass to satisfy both consumer needs. The Architecture The streaming pipeline serves the algorithmic desks during market hours. The reconciliation pass overwrites yesterday's bars overnight, after the settlement system has finalized. The minute_bars table has two writers; the contract is that the daily reconciliation is

About This Interactive Section

This section is part of the Schema Evolution and Late Data: Advanced lesson on DataDriven, a free data engineering interview prep platform. Each section includes explanations, worked examples, and hands-on code challenges that execute in real time. SQL queries run against a live PostgreSQL database. Python runs in a sandboxed Docker container. Data modeling problems validate against interactive schema canvases. All content is framed around what data engineering interviewers actually test at companies like Meta, Google, Amazon, Netflix, Stripe, and Databricks.

How DataDriven Lessons Work

DataDriven combines four interview rounds (SQL, Python, Data Modeling, Pipeline Architecture) with adaptive difficulty and spaced repetition. Easy problems get harder as you improve. Weak concepts resurface until you master them. Your readiness score tracks progress across every topic interviewers test. Every lesson section ends with problems you solve by writing and running real code, not by picking multiple-choice answers.