Data Engineering
Saks Tech builds the data foundation needed for reporting, analytics, AI, and business operations. Without reliable, well-modeled, and governed data infrastructure, every analytics and AI initiative is built on sand. We fix that.
Key Capabilities
- Data ingestion pipelines (batch & streaming)
- ETL / ELT implementation
- Warehouse / lakehouse architecture
- Data quality checks and monitoring
- Data modeling (star schema, vault, etc.)
- Cloud migration (AWS, Azure, GCP)
- Workflow orchestration
- Data governance frameworks
Common Challenges
Problems We Solve
Data pipelines are brittle and break frequently
No single source of truth — data lives in dozens of systems
Cloud migration stalled or incomplete
Data quality issues undermine reporting trust
What We Deliver
Business Impact
Benefits You'll See
Reliable, automated data pipelines
Single source of truth for the entire organization
Scalable cloud-native data infrastructure
Reduced manual data preparation
Audit-ready data governance
Use Cases
How Clients Use Data Engineering
Cloud Data Warehouse Build
Design and implement a modern cloud data warehouse on Snowflake, BigQuery, or Redshift.
Real-Time Data Pipeline
Streaming data ingestion for real-time dashboards, alerts, and operational analytics.
Legacy System Migration
Migrate from on-premise data systems to cloud-native infrastructure without data loss or downtime.