Enterprise Data Engineering & Pipelines.
We engineer the backbone of your analytics ecosystem. Automated ingestion, robust PySpark transformations, Change Data Capture (CDC), and open Delta Lake storage that eliminate pipeline failures and data latencies.
The Medallion Architecture in OneLake
We structure data ingestion and processing through Bronze, Silver, and Gold layers to guarantee ACID reliability and auditability.
Bronze Layer
Raw, immutable replica of transactional data extracted from source ERPs, databases, and APIs. Preserves full historical fidelity and auditability.
Silver Layer
Deduplicated, enriched, and standardized records. Enforces referential integrity, normalizes datetime stamps, and validates business constraints.
Gold Layer
High-performance star-schema dimensional models optimized for executive reporting, Direct Lake semantic consumption, and machine learning.
Incremental CDC & Continuous Orchestration
Batch exports that copy entire database tables overnight are slow, expensive, and fragile. We implement Change Data Capture (CDC) pipelines that ingest only modified records in near real-time.
Engineering Best Practices:
- Watermark timestamp and log-based CDC extraction minimizing source database load
- Parameterized Fabric Data Factory pipelines with retry backoff policies
- Automated pipeline failure telemetry pushed directly to Microsoft Teams / Webhooks
- Continuous Delta Lake V-Order optimization for sub-second read query speeds
