Modern data engineering from pipeline basics to production lakehouse architectures. Fully updated with Apache Iceberg, dbt, data contracts, and AI-assisted engineering patterns for 2025/26.
This Data Engineering course is designed for learners across India who want practical, job-focused training in ETL/ELT, Spark, Kafka, Airflow. Averra combines live guidance, structured lessons, labs, assessments, and counseling so you can move from fundamentals to portfolio-ready skills.
Clear fitment for students, graduates, and professionals choosing a Data or AI learning path.
Core outcomes and practical skills covered across this course.
7 focused modules with 11 hands-on lab areas and 9 updated 2025/26 topic markers.
3 lectures covering Data Engineering Landscape 2025/26, Data Architectures, Data Contracts
4 lectures covering Batch Ingestion, Real-Time Streaming with Kafka, Apache Flink
3 lectures covering Apache Iceberg Deep Dive, Delta Lake & Apache Hudi, Cloud Data Warehouses
3 lectures covering PySpark Fundamentals, PySpark Advanced, DuckDB & Polars for Local Processing
2 lectures covering Apache Airflow, Dagster & Modern Orchestration
2 lectures covering Great Expectations & Soda, Data Observability Platforms
4 lectures covering AWS Data Stack, Azure & GCP Data Stack, AI-Ready Data Infrastructure
Averra Data, Pirangut
Averra Data provides course counseling and online training support for learners across India. Share your background, preferred schedule, and career goal, and our team will help you choose the right Data, Analytics, AI, Python, SQL, Governance, or Cloud path.
Explore connected courses that build naturally from this learning path.
Answers to common questions about fitment, tools, certification and enrollment.
Data Engineering is suitable for professionals who already know the basics and want deeper practical skills, learners preparing for portfolio projects, interviews, and applied workplace use, analysts, engineers, and managers who need advanced implementation and governance depth.
The course covers ETL/ELT, Spark, Kafka, Airflow, Data Lakes with practical exposure to SQL, LLMs, Spark, Kafka.
Included after completing the required learning activities, labs, and assessments.
This path can support preparation for roles such as Data Engineer, ETL Developer, Cloud Data Associate and related data or AI positions.
Use the Enroll Now or Book Counseling option to share your details. The Averra team will confirm the right batch, schedule, and next steps.