Case Study / SYS_01

Sentinel Analytics.

Unifying disconnected commerce, advertising, and analytics data across 15+ platforms into a real-time operating layer — replacing manual reporting with trusted visibility across every channel.

Zero → Real-Time Operational Visibility
10M+ Records Processed Daily
24hr Historical Data Syncs
Sentinel analytics dashboard

The Chaos.

Data was scattered across 15+ platforms — Shopify, Amazon, eBay, Facebook Ads, Google Ads, Google Analytics, and custom marketplaces — with no single place to understand performance.

Reporting took weeks of manual spreadsheet work, and decisions were made on stale, incomplete information instead of a trusted operating picture.

The System.

We built Sentinel — a commerce data platform powered by AWS Lambda and Kinesis that ingests tens of millions of records daily into PostgreSQL.

A Flask API provides real-time data access, while the React dashboard gives leaders and operators instant visibility into revenue, ad performance, customers, and orders across every channel.

The Stack.

Built for executive visibility and daily operating trust.

AWSAWS LambdaAmazon KinesisPostgreSQLFlaskReactEChartsPythonShopify APIFacebook Graph APIGoogle Ads API
12 Week Timeline

Execution Process.

01. Discovery & Audit

Mapped all 15+ data sources — e-commerce platforms, Facebook Ads, Google Ads, Google Analytics, and financial systems — and established strict data quality baselines.

02. Architecture & Pipeline

Designed the PostgreSQL warehouse and built AWS Lambda + Kinesis streaming pipelines capable of ingesting tens of millions of records daily with zero data loss.

03. API & Dashboard

Built the Flask API layer for real-time data access and the React analytics dashboard giving the executive team live visualizations across all revenue channels.

04. Deploy & Scale

Deployed on AWS with rigorous monitoring. Built the automated 24-hour acquisition onboarding process for integrating newly acquired companies seamlessly.

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