Data Engineering and ETL​

  • Step 1: Learn Data Storage
  • Understand relational (SQL) and NoSQL databases
  • Learn data modeling and schema design
  • Study storage formats (CSV, JSON, Parquet)
  • Step 2: Understand ETL
  • Learn ETL tools like Apache NiFi, Airflow, Talend
  • Practice designing extract-transform-load pipelines
  • Handle large-scale data movement and cleaning
  • Step 3: Work with Big Data
  • Learn Hadoop, Spark, and distributed systems
  • Process streaming and batch data
  • Use cloud data warehouses like BigQuery, Redshift
  • Step 4: Real-World Projects
  • Build end-to-end data pipelines
  • Automate reporting and analytics flows
  • Document work and optimize for scalability
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