All Industrial Trainings

Industrial Training

Data Engineering

Design pipelines that move petabytes without breaking.

What you'll master

  • SQL mastery + advanced windowing + query tuning
  • Airflow, Kafka, Spark, Databricks
  • AWS S3 + Glue + Redshift · GCP BigQuery · Azure Synapse
  • dbt, Snowflake, data modelling (Kimball & Data Vault)
  • Real project: build an end-to-end streaming pipeline on cloud

For Freshers & Students

Land your first serious role — with a portfolio recruiters actually read.

  • →Start at ₹8-14 LPA — Data Engineering is the highest-paid entry role.
  • →Concrete GitHub with production-style Airflow DAGs and dbt models.
  • →Certification aligned with AWS/GCP data engineer exams.

For Experienced Professionals

Reposition your career — pay bump, promotion, or a role switch that sticks.

  • →Move from DBA / SQL developer to cloud data engineer with confidence.
  • →Ship reference architecture for your own team using what you learn.
  • →Lead the cloud-migration conversation — most companies still need this.

Scholar Industry certificate

Every graduate receives a verifiable Scholar Industry certificate with a unique QR + verification URL, sharable on LinkedIn instantly.