Data Engineering

Overview: Build data pipelines, ETL, data warehouses, streaming and big data tools (Spark, Kafka).

Modules

1. Data modeling & warehousing concepts

2. ETL/ELT design patterns

3. SQL at scale, partitioning, indexing

4. Big data: Spark fundamentals (PySpark)

5. Streaming basics (Kafka)

6. Cloud data platforms (AWS/GCP/Azure data services)

7. Orchestration (Airflow) & monitoring

8. Hands-on pipeline project

Duration & Schedule

• Weekday: 16–20 weeks

• Weekend: 24–32 weeks

Career outcomes

• Data Engineer / ETL Developer

• Big Data Engineer

Avg Salary (est.)

• India: ₹6 LPA → ₹22 LPA

• US: $90k → $160k

Course benefits

• Build production-grade ETL pipelines

• Practice with Spark + cloud data stacks

• Prepares for mid-level data infra roles