Data Engineering
Data pipelines, ETL processes, analytics infrastructure, and big data solutions for scalable data systems
Target Audience
Data Engineers Analytics Engineers Backend Developers
Data Engineering
Build robust data infrastructure, pipelines, and analytics systems that scale with your organization’s data needs.
Core Areas
- Data Pipelines: ETL/ELT processes, batch and stream processing
- Big Data: Hadoop, Spark, and distributed computing frameworks
- Data Warehousing: Snowflake, BigQuery, and analytics platforms
- Real-time Processing: Kafka, streaming analytics, and event-driven architecture
- Data Quality: Validation, monitoring, and governance practices
- Cloud Platforms: AWS, GCP, Azure data services and infrastructure