Financial Market Data Platform

High-availability financial data infrastructure processing 200GB+ daily across 24/7 operations — 99% uptime, 99% accuracy, scaled through S&P and Reuters data partnerships.

Financial Market Data Platform

Technologies Used

SQL Python Financial APIs ETL Pipelines Data Validation

Key Features

99% system uptime across 24/7 data center operations
200GB+ of daily financial data processed and validated
30% pipeline efficiency improvement while sustaining 99% accuracy
120% expansion of data product catalog through provider partnerships
S&P and Reuters data integrations delivering new analytics capabilities

Project Overview

AE Global Solutions operated a financial data platform serving clients who needed reliable, accurate market data around the clock. The data infrastructure ran continuously across multiple time zones, with no tolerance for downtime or data quality failures.

Technical Implementation

Day-to-day work involved maintaining and improving the ETL pipelines that ingested, validated, and distributed financial data from multiple upstream sources. Pipeline efficiency improvements came from profiling slow transformation steps, rewriting bottleneck queries, and introducing parallel processing where the data flow allowed.

Data quality was tracked at every stage: record counts, schema conformance, value range checks, and cross-source reconciliation. Anomalies triggered alerts before downstream consumers were affected.

Outcome

Maintained 99% uptime across 24/7 operations for the duration of the role. The 30% pipeline efficiency gain reduced processing latency during peak market hours. Partnerships with S&P and Reuters expanded the platform’s data product catalog by 120%, opening new revenue streams for the business.

Completed on: Nov 1, 2021
Christopher A. Rotunno Grounded in Analytics

Data analytics engineer and BI leader. Building pipelines, models, and dashboards that turn raw data into clear decisions.

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