Our data engineering solutions help organizations build robust, scalable data infrastructure that powers analytics, machine learning, and business intelligence. We design modern data architectures using the latest technologies in data lakes, warehouses, and streaming platforms.
From ETL pipeline development to real-time data streaming and data quality management, we deliver end-to-end solutions that ensure your data is accurate, accessible, and actionable.
Unified architecture combining data lakes and warehouses with Delta Lake, Apache Iceberg for ACID transactions.
Scalable data integration workflows using Apache Airflow, Prefect, and dbt for extraction, transformation, and loading.
Low-latency event streaming with Apache Kafka, Flink, and Pulsar for real-time analytics and event-driven architectures.
Automated validation, profiling, cleansing, and monitoring using Great Expectations and custom quality frameworks.
Metadata management, data lineage tracking, and access control with DataHub, Amundsen, or Apache Atlas.
Migration from legacy systems to modern cloud warehouses like Snowflake, BigQuery, Redshift, or Databricks.
Unified customer data platform processing 500M+ records daily from billing, CRM, network, and app data for real-time personalization.
HIPAA-compliant data pipelines aggregating EHR, lab results, imaging, and claims data for population health analytics.
Real-time fraud detection processing transaction streams with sub-100ms latency for comprehensive risk scoring.
Petabyte-scale time-series data lake for airport and manufacturing IoT sensors enabling predictive maintenance.
Let's build a data infrastructure that scales with your business.