Technical Roadmap for Data Engineering and AI

Yes. The sequence covers dimensional models, incremental and CDC logic, Spark execution analysis, orchestration, reconciliation, recovery and deployment practices. The exact scope and advanced variants are confirmed for your selected track.

Yes. The program is built for working professionals and is delivered as live sessions in Pune and online. Before enrolling, confirm session timings, practice commitment, mentoring and recording access.

It depends on your schedule and the track you choose. Confirm live hours, the independent practice time expected each week, mentoring availability and recording access before you enrol.

Yes. Azure Data Factory, Azure Databricks, Azure SQL, Azure Synapse, Microsoft Fabric, Delta Lake and Apache Airflow are covered through the projects. Advanced variants depend on your track.

No. The Snowflake, dbt and Synapse warehouse tracks focus on batch and incremental processing. Relevant Databricks and Fabric variants add event-stream ingestion.

Warehouses are well suited to dimensional modelling and business reporting. Lakehouses support file and event ingestion and large distributed transformations using transactional tables. The projects show how the two patterns integrate.

Through code, source-to-target mappings, architecture diagrams, test results, reconciliation totals, performance comparisons and recovery evidence. You will also explain how your solution behaves when inputs change or jobs fail.

No. Placement assistance supports relevant opportunities, but selection depends on skills, prior experience and employer requirements.

Duration, live hours, which projects and advanced features are included, cloud lab costs, recordings, review arrangements, program investment and the exact scope of placement support.

Looking for the best data engineering course in Pune or the best data engineering institute in Pune for your current experience? Compare the stages, projects and experience bands above, then book a career consultation to confirm prerequisites, project scope, cohort options, session timings and program investment. Data engineering classes in Pune and online are scheduled around working hours.