Big Data Architecture
We craft robust data strategies that turn raw information into actionable insights, empowering smarter decisions, optimized operations, and sustainable growth.
From Petabytes to Precision
Data without governance is just noise. We design big data systems with speed, structure, and strategy in mind, from ingestion to visualization.
Data Challenges We Solve
- Slow batch reporting cycles
- No real-time insights
- Poor data lineage and quality control
- Uncontrolled cloud storage costs
Our Data Stack
- Ingestion: AWS Glue, Kafka, Azure Data Factory
- Transformation: Apache Spark, dbt
- Storage: Snowflake, Delta Lake
- Visualization: Looker, Tableau, Power BI
- ML: SageMaker, Vertex AI, MLflow
Our Integration Patterns
- Metadata management
- Data contracts
- Role-based access (RBAC, ABAC)
- Tokenization, masking for PII/PHI
How We Help:
We partner with enterprise data teams to modernize their pipelines—from raw ingestion and transformation to governance and model deployment. Whether you’re building a data lakehouse or integrating ML into operations, we design for scale, trust, and performance.