Analytics & AI / Big Data Anlaytcis

Cloud-Native Intelligence: ETL & BI for High-Volume Creative Workloads

Scalable data infrastructure for forecasting and operational insight in audiovisual production.

In the audiovisual sector, creative teams generate massive volumes of data daily—from renders to production metrics. This growing load demands an infrastructure capable of automatic scaling without compromising performance. The project was developed for a leading audiovisual production company aiming to modernize its data stack and anticipate workload demands for designers and animators.

A woman working on a cloud-native AI solution at her office workstation

Objective

    • Modernize the data architecture to support exponential growth.
    • Enable forecasting of creative workloads across teams and projects.
    • Automate data extraction and processing from multiple sources.
    • Ensure scalability without impacting production performance.

Key Actions

    • Designed and implemented a custom ETL system to automate data extraction from design tools, rendering platforms, and internal systems.
    • Built a cloud-native data lake capable of storing petabytes of structured and unstructured data.
    • Developed a BI consumption tool to visualize key metrics, identify bottlenecks, and anticipate demand spikes.
    • Integrated forecasting models to predict workload volumes by team, project type, and client.
    • Established resilient data pipelines with continuous monitoring and proactive alerting.

Technologies

    • Cloud Storage and BigQuery for scalable data lake and analytics.
    • Dataflow and Pub/Sub for real-time data processing.
    • Terraform and GitOps for infrastructure automation.
    • Looker and Grafana for operational and business data visualization.
    • Python and Apache Beam for custom ETL logic.
    • AutoML for predictive workload modeling.
    • IAM and VPC Service Controls for data 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.