Data Pipelines Case Study
Data Platform Architect

Data Pipelines

Project Overview

Data Pipelines deliver high-throughput, low-latency extraction and replication of enterprise data logs. It allows dataware solutions to capture database operations in real-time, syncing analytics data warehouses.

Architected data pipelines with automated schema matching, allowing horizontal scalability and robust data warehousing across AWS Redshift and Greenplum clusters.

Data Pipelines Overview Diagram

Technical Actions & Advisory

Guiding scalable data streaming infrastructures:

  • Stream Extraction: Guided the configuration of transaction log extraction adapters to stream edits with zero source database load.
  • Schema Auto-Mapping: Established ETL schemas to dynamically map tables when database attributes edit.
  • Distributed Computations: Directed Apache Spark and AWS Redshift warehousing integration strategies.
Data Pipelines Real-time Flow Diagram