Problem
National-scale modem telemetry needed to be synchronized into a centralized analytics environment. The data volume was large enough that simple exports and manual reporting patterns were not reliable for recurring operational insight.
Project Case Study
5TB Telco Data to BigQuery
Backend synchronization workflows for national-scale modem telemetry into BigQuery, supporting centralized analytics and near real-time reporting.
AWS EC2 AWS RDS Google BigQuery Apache Airflow Apache Beam
Solution
Designed backend data synchronization workflows that moved 5TB+ modem data into Google BigQuery. The system supported scheduled delivery, centralized analytics, reporting automation, and near real-time operational visibility.
Proof
- Handled 5TB+ of modem telemetry data.
- Used cloud data infrastructure including AWS services and Google BigQuery.
- Built scheduled data workflows with tools such as Apache Airflow and Apache Beam.
Result
Enabled centralized analytics and more reliable reporting automation for national-scale telco operational data.