We architect and modernize data platforms for analytics, reporting, governance, and AI-ready infrastructure.
Brigita empowers organizations with end-to-end data engineering services — delivering agile, cloud-native infrastructure that enables governed analytics, reporting, and real-time business intelligence at scale.
"From Raw Data to Real-Time Business Intelligence"
Brigita builds custom ETL and ELT workflows optimized for high-volume ingestion, transformation, and load — across batch and streaming data pipelines for real-time and historical analysis.
Brigita builds interactive BI dashboards and reporting layers using Power BI, Looker, and Tableau — tailored for operational KPIs, executive insights, and user self-service.
We design scalable, schema-flexible data lake environments with strong metadata management, access control, and policy-based governance for secure storage and unified enterprise reporting.
We embed data observability into pipelines with automated testing, anomaly alerts, and lineage tracing to ensure reliability, auditability, and trust across the full data lifecycle.
Brigita delivers event-driven architectures with Kafka and Spark to process data in motion, enabling instant insight delivery, anomaly detection, and near real-time business decisioning.
Brigita integrates tools like Airbyte, dbt, and Airflow with cloud-native services to build modular, orchestrated workflows for data ingestion, transformation, and delivery.
We migrate legacy DWH systems to cloud-native platforms like Snowflake and BigQuery, with optimized schema design, partitioning, and compute efficiency for analytics at scale.
We implement centralized metadata catalogs and semantic layers to enhance data discoverability, policy enforcement, and lineage visualization for trusted enterprise-wide data access.
