ANALYTICS & AI / BIG DATA ANALYTICS
Cloud-Native Intelligence: ETL & BI for High-Volume Creative Workloads
Scalable data infrastructure for forecasting and operational insight in audiovisual production.
A woman working on a cloud-native AI solution at her office workstation
OBJECTIVE
Modernize the data architecture to support exponential growth in audiovisual production environments.
Enable forecasting of creative workloads across teams and projects.
Automate data extraction and processing from multiple sources.
Ensure scalability without impacting production performance.
SOLUTION
Cloud-native data infrastructure designed for high-volume creative workflows. The system centralizes data ingestion, processing, and analytics across production tools, enabling real-time visibility, predictive insights, and scalable operations for audiovisual teams.
KEY ACTIONS
- Designed and implemented a custom ETL system for design tools, rendering platforms and internal systems
- Built a cloud-native data lake capable of handling petabyte-scale structured and unstructured data
- Developed BI tools to visualize metrics, detect bottlenecks and monitor production performance
- Integrated forecasting models to predict workload demand by team, project and client
- Established continuous monitoring pipelines with automated alerting
TECHNOLOGIES
- Cloud Storage and BigQuery for scalable data lakes and analytics
- Dataflow and Pub/Sub for real-time data processing
- Terraform and GitOps for infrastructure automation
- Looker and Grafana for data visualization and operational dashboards
- Python and Apache Beam for custom ETL pipelines
- AutoML for predictive workload modeling
- IAM and VPC Service Controls for security and segmentation
SAVINGS & BENEFITS
- 70% reduction in time required to prepare operational reports
- Automatic scaling with zero manual intervention
- Accurate forecasting enabling resource planning up to three weeks in advance
- Elimination of data silos between creative, technical and business teams
- Future-proof infrastructure with controlled costs and no need for redesign