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Data Engineering Roadmap - Advanced

Follow this step-by-step roadmap to master data_engineering at Advanced level

1

Data Lakes & Lakehouse

3 weeks
  • ▹What is a Data Lake?
  • ▹Data Lake vs Data Warehouse
  • ▹Delta Lake & Apache Iceberg
  • ▹Lakehouse Architecture
  • ▹Cloud Storage Integration
2

Advanced Data Engineering Tools

4 weeks
  • ▹Spark Advanced (MLlib, GraphX)
  • ▹Presto & Trino
  • ▹Apache Beam
  • ▹ElasticSearch for Analytics
  • ▹Data Lineage & Governance
3

Cloud Data Engineering

4 weeks
  • ▹AWS Data Engineering (Glue, EMR, Kinesis, Redshift)
  • ▹Azure Data Engineering (Data Factory, Synapse, Event Hub)
  • ▹Google Cloud Data Engineering (BigQuery, Dataflow, Pub/Sub)
  • ▹Multi-Cloud & Hybrid Pipelines
4

Data Engineering Best Practices

2 weeks
  • ▹Data Quality & Validation
  • ▹Data Security & Privacy (GDPR, HIPAA)
  • ▹Data Catalogs & Metadata Management
  • ▹CI/CD for Data Pipelines
  • ▹Monitoring & Observability
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