Robust pipelines for reliable data at scale
Robust data pipelines for ingestion, transformation and availability of reliable data at scale with monitoring and governance.
Overview
Data engineering is the foundation that makes analytics and AI possible. Our engineers build scalable and reliable data pipelines that integrate diverse sources, ensure quality and make data available for consumption.
Services
ETL / ELT pipelines
Optimized extraction, transformation, and loading pipelines to process large data volumes with reliability and traceability.
Data streaming
Real-time data processing with Apache Kafka, Kinesis, and Spark Streaming for scenarios requiring minimal latency.
Data modeling
Dimensional and data vault modeling to organize data in ways that facilitate queries, analyses, and system integration.
Data quality
Automated validation frameworks that ensure data accuracy, completeness, and consistency at all pipeline stages.
Workflow orchestration
Automation and monitoring of data workflows with Airflow, Dagster, and Step Functions for reliable and observable operations.
Data integration
Data integration from multiple sources — APIs, databases, SaaS, files — into centralized and standardized platforms.
Where we operate
Where we operate with Data Engineering
Data migration
Secure and validated data migration between legacy systems and modern cloud platforms, with zero data loss.
Real-time analytics
Streaming pipelines that feed real-time dashboards for operational monitoring and instant decision-making.
Data Mesh
Implementation of decentralized architecture where each business domain manages its own data products.
Compliance & audit
Pipelines with complete traceability (data lineage) to meet regulatory requirements such as LGPD and SOX.
IoT & telemetry
Ingestion and processing of large volumes of sensor and IoT device data for real-time analysis.
Data Lakehouse
Hybrid architecture that combines the flexibility of Data Lakes with the performance of Data Warehouses.
How we work
Infrastructure Assessment
Evaluation of current architecture, identification of bottlenecks, and definition of desired state for data infrastructure.
Architecture & Design
Design of modern data architecture with scalable, resilient, and cost-optimized patterns.
Pipeline Development
Pipeline implementation with automated testing, monitoring, and integrated documentation.
Deploy & Observability
Deployment with infrastructure as code, intelligent alerts, and pipeline monitoring dashboards.
Operation & Evolution
Continuous support, performance optimization, and architecture evolution as new needs arise.
Infrastructure Assessment
Evaluation of current architecture, identification of bottlenecks, and definition of desired state for data infrastructure.
Architecture & Design
Design of modern data architecture with scalable, resilient, and cost-optimized patterns.
Pipeline Development
Pipeline implementation with automated testing, monitoring, and integrated documentation.
Deploy & Observability
Deployment with infrastructure as code, intelligent alerts, and pipeline monitoring dashboards.
Operation & Evolution
Continuous support, performance optimization, and architecture evolution as new needs arise.
Other solutions
Data Analytics
Exploratory and advanced analysis that uncovers patterns, trends and insights to drive strategic and operational decisions.
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Data Platforms
Modern data platform architecture with Data Mesh, Data Lake, Data Warehouse and real-time processing for advanced analytics and AI.
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Data Lakes & warehouses
Scalable storage architecture that centralizes structured and unstructured data for analysis, reporting and artificial intelligence.
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Business Intelligence
Interactive dashboards and automated reports that provide clear and updated operational and strategic visibility for decision-making.
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Data Governance
Policies, processes and tools to ensure quality, security, privacy and compliance of corporate data according to LGPD and other regulations.
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