Project

D.R.O.P — Data Retrieval & Operations Pipeline

An automated data ingestion pipeline with run monitoring and change tracking built in.

D.R.O.P — Data Retrieval & Operations Pipeline

Overview

D.R.O.P (Data Retrieval & Operations Pipeline) automates recurring data ingestion jobs — pulling records from a source system on a schedule and logging exactly what changed on every run.

The dashboard tracks ingestion activity end to end: how many runs have completed, the success rate, how many rows were retrieved, and a breakdown of inserts, updates, and deletes per run — so a failed or partial sync is visible immediately instead of discovered days later.

Key Features

  • Scheduled ingestion runs with pass/fail tracking and a success-rate metric
  • Insert / update / delete change volume charted per run
  • Rows-retrieved tracking to catch partial or truncated syncs
  • Run history with the ability to re-run a job on demand
  • Aging report and storage detail views for the underlying data