Our Work - Production systems, measurable outcomes.

We implemented a multi-cloud governance solution for a financial services organization managing complex AWS/GCP hybrid infrastructure.

The solution leveraged Terraform, OpenTofu, and automated governance tools to achieve a meaningful cost reduction and 100% compliance automation.

The project established a scalable, multi-cloud governance framework supporting automated compliance, cost optimization, and security enforcement across hybrid environments.

We implemented a MLOps solution for a major retail chain, enabling automated anomaly detection across sales, inventory, and customer behavior.

The solution leveraged DBT for feature engineering and Airflow for orchestration, achieving materially faster ML deployment and 95% accuracy in anomaly detection.

The project established a scalable, automated ML pipeline supporting real-time anomaly detection across 500+ retail locations with continuous model improvement.

We implemented a self-service BI solution for a large conglomerate, eliminating IT bottlenecks and empowering business users with direct data access.

The solution leveraged modern data stack technologies to achieve materially faster report generation and a meaningful reduction in IT support requests.

The project established a scalable, user-friendly BI platform supporting 500+ business users with real-time analytics and operational reporting.

Luce designed and implemented a cost-optimized real-time streaming architecture processing 300M events per day for a major e-commerce platform.

The solution leveraged Kafka, Airbyte, DBT, and Cube.js to achieve 1-second latency and a meaningful cost reduction.

The project established a scalable, high-performance streaming platform supporting real-time analytics and operational monitoring with optimized costs.

We migrated a betting platform's 5TB MySQL database to cloud-native architecture with minimal downtime.

The solution leveraged Terraform, Airbyte, DBT, and BigQuery to achieve zero data loss and production-grade uptime during migration.

The project established a scalable, cloud-native data platform supporting real-time analytics and operational reporting with improved performance.

We implemented a GDPR-compliant analytics solution for a luxury brand handling sensitive client data across multiple jurisdictions.

The solution leveraged policy tags, OpenMetadata for data lineage, and DBT anonymization techniques to achieve Full auditability in just 2 weeks.

The project established data governance with automated compliance monitoring, data anonymization, and audit trails for regulatory requirements.

We implemented a real-time fraud detection solution for a fintech platform processing 10M transactions per day.

The solution leveraged Terraform, Kafka, Airbyte, DBT, and Cube.js to achieve 1-second latency and 15% fraud reduction.

The project established a scalable, high-performance fraud detection platform supporting real-time transaction monitoring with automated alerting and response capabilities.

We implemented a data mesh architecture to unify 200+ data sources for retail enterprises.

The solution leveraged domain-driven design and modern data stack technologies to achieve materially faster data access and a meaningful reduction in data silos.

The project established a scalable, decentralized data architecture supporting real-time analytics and operational reporting across retail domains.