Data Engineering & Architecture
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Data Engineering & Architecture
Cloud-Native Platforms and Enterprise Data Solutions
Enterprise Data Engineering
We design and implement robust data architectures that enable organizations to harness the full power of their data. Our solutions span from real-time streaming to enterprise data lakes, built on modern cloud-native platforms.
Cloud-Native Platforms
- AWS (S3, Redshift, EMR, Glue)
- Azure (Data Factory, Synapse, Data Lake)
- Google Cloud Platform (BigQuery, Dataflow)
- Multi-cloud architecture design
- Cloud migration strategies
Enterprise Data Architecture
- Data lake and data warehouse design
- Data mesh architecture implementation
- Master data management (MDM)
- Data governance frameworks
- Data quality and lineage tracking
Real-Time Processing
- Apache Kafka and streaming pipelines
- Event-driven architecture
- Real-time analytics and dashboards
- Change data capture (CDC)
- Stream processing frameworks
API Strategy
- RESTful API design and development
- GraphQL implementation
- API gateway and management
- Microservices architecture
- API security and authentication
Modern Data Stack Expertise
Databricks
- Unified analytics platform setup
- Delta Lake implementation
- Collaborative notebook environments
- MLflow integration
Snowflake
- Cloud data warehouse architecture
- Data sharing and marketplace
- Performance optimization
- Security and compliance setup