Data Platform Engineering
Build modern, scalable data platforms with lakehouse architecture, orchestration, and data mesh principles
In this course, you will: Design a production-grade lakehouse using Delta Lake, Iceberg, or Hudi; Orchestrate complex data workflows with Apache Airflow and Dagster; Implement data mesh domains with federated ownership and data contracts.

30+
Hours
5
Modules
20
Topics
4.7
Rating
Beginner-Friendly
Level
New
Batches weekly
About Data Platform Engineering
Build modern, scalable data platforms with lakehouse architecture, orchestration, and data mesh principles
In this course, you will: Design a production-grade lakehouse using Delta Lake, Iceberg, or Hudi; Orchestrate complex data workflows with Apache Airflow and Dagster; Implement data mesh domains with federated ownership and data contracts.
What This Training Covers
The Data Platform Engineering programme at Tutorsbot spans 30+ hours across 5 structured modules. Every module is built around hands-on projects and real-world scenarios — not slide-heavy theory. Your instructor walks you through each concept with live demonstrations, code reviews, and practical exercises so you can apply what you learn from day one. The curriculum is aligned with current Technology Training industry expectations and hiring patterns.
Enrollment & Training Quality
Data Platform Engineering is available in 2 flexible learning modes — choose online live classes, classroom, hybrid, self-paced, or one-on-one depending on your schedule. Every batch is limited in size to ensure each learner receives personal attention, code-level feedback, and doubt resolution. Career support and certification are included with every enrolment. Tutorsbot instructors are working professionals who teach from delivery experience, and the training standard stays consistent across all modes and batches.
Course Curriculum
5 modules · 20 topics · 30 hrs
01Lakehouse Architecture
10 topics
Lakehouse Architecture
10 topics
- Data warehouse vs data lake vs lakehouse: trade-offs and convergence
- Delta Lake: ACID transactions, time travel, and schema enforcement
- Apache Iceberg: partitioning evolution, row-level deletes, and branching
- Apache Hudi: copy-on-write vs merge-on-read for streaming upserts
- Open table format comparison: Delta Lake vs Iceberg vs Hudi
- Medallion architecture: Bronze, Silver, and Gold layers
- Object storage as the foundation: S3, ADLS, and GCS integration
- Query engines on lakehouse: Trino, Spark, and DuckDB
- Catalog services: AWS Glue Catalog, Hive Metastore, and Nessie
- Z-ordering and data skipping for query performance optimisation
02Data Ingestion and ELT
10 topics
Data Ingestion and ELT
10 topics
- Batch ingestion patterns: full load, incremental, and CDC
- Change Data Capture (CDC) with Debezium and Kafka Connect
- ELT over ETL: loading raw data first for flexibility
- dbt (data build tool) for transformation in the warehouse
- dbt models, tests, docs, and incremental materialisation strategies
- Airbyte and Fivetran for managed connector-based ingestion
- Spark Structured Streaming for real-time lakehouse ingestion
- Apache Flink for stateful stream processing at scale
- Schema evolution handling in streaming pipelines
- Data landing zones and idempotent ingestion design
Orchestration and Pipelines
Topics included
2 more modules available
Enter your details to unlock the complete syllabus
Enrol in This Course
All prices inclusive of 18% GST. Same curriculum & certification across all formats. Updated Aug 2026.
Online Live
Live instructor-led sessions from anywhere, with recordings for catch-up.
GST ₹2,288 included
EMI from ₹2,500/mo
or
What You Get After Completion
Every graduate receives a verified certificate, a portfolio of real projects, and dedicated career support.
Verified Certificate
Digitally signed with a permanent shareable link — not just for attendance.
LinkedIn-importable·Permanent URL·PDF download
Project Portfolio
Real, deployable projects reviewed by your instructor — ready for interviews.
Instructor-reviewed·GitHub-hosted·Interview-ready
Career Support
Résumé review, mock interviews, LinkedIn guidance, and employer introductions.
1-on-1 coaching·Mock interviews·Employer connect
Meet Your Instructor
Every Data Platform Engineering batch is led by a practitioner who teaches from production experience, not textbooks.
Industry Expert
Senior Technology Professional
Senior professionals with substantial hands-on delivery experience at top companies, bringing real-world projects, industry insights, and best practices.
How We Teach
- Concepts start with a real problem so theory lands in context
- Projects reviewed the way a senior colleague reviews pull requests
- Every topic includes the kind of questions you'll face in interviews
Hire Data Platform Engineering Talent from Tutorsbot
Companies hiring Data Platform Engineering talent from Tutorsbot receive pre-assessed profiles backed by project work, instructor review, and interview-ready candidates who can explain what they built and why.
Why hire from us
Project repositories with documented technical decisions
Assessment outcomes backed by instructor context
Candidate readiness shaped by interview-style practice
Project-based portfolios available
Frequently Asked Questions
Everything you need to know about Data Platform Engineering, answered by our training experts
1Who should take Data Platform Engineering?
2Does Data Platform Engineering include a certificate?
3Is placement support included with Data Platform Engineering?
4How long does Data Platform Engineering take to complete?
5What is the mode of delivery for Data Platform Engineering?
6Can I get a free demo class for Data Platform Engineering?
7What kind of projects will I work on in Data Platform Engineering?
8What if I miss a class?
9Is Data Platform Engineering worth it for experienced professionals?
10What is the refund policy for Data Platform Engineering?
11Do you offer corporate or group training?
12How are the instructors selected at Tutorsbot?
13Will I get lifetime access to Data Platform Engineering materials?
14Can I switch between batch timings?
15What support do I get after completing the course?
Still have questions?
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