Online • Live Hands-on Projects Certificate of Completion

Data Engineering Masterclass

Break into one of the fastest‑growing careers. Build production‑grade data pipelines with Spark, Databricks, Airflow, Kafka and modern Lakehouse patterns.

5k+ learners
4.8/5 Instructor rating
Industry mentors
Admission deadline
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Duration
6 weeks
Format
Live Online
Projects
3+ Hands-on
Tools
Spark, Airflow, Kafka
Cloud
Databricks & Lakehouse
EMI
Available

Benefits from the Masterclass

Curated per your PPT + inspired by the reference page.

Real Data Pipelines

Design batch & streaming pipelines with best practices (partitioning, orchestration, CI/CD).

Career Acceleration

Target roles like Data Engineer, Platform Engineer, or Analytics Engineer.

Portfolio Projects

Ship 3+ guided projects including a Lakehouse & event-driven pipeline.

Certificate

Shareable certificate on completion + interview prep resources.

Topics Covered

From fundamentals to production-grade systems.

Data engineering lifecycle, OLTP vs OLAP, data modeling (star/snowflake), batch vs streaming, Python recap.

Spark DataFrames, Delta Lake, transformations, partitioning, optimization.

DAGs, scheduling, sensors, CI/CD for data pipelines, observability.

Event-driven architectures, Kafka topics, producers/consumers, stream processing patterns.

Delta Lake, medallion architecture, governance, cost control, Unity Catalog.

Capstone showcase, behavioral + system design for DE interviews, portfolio polish.

Career Outcomes

  • Data Engineer • Platform Engineer • Analytics Engineer • Data Architect
  • Mock interviews, resume & LinkedIn review
  • Alumni network & job-posting channel
Talk to an Advisor
92%
Report higher confidence
3+
Portfolio projects
6
Intensive weeks
∞
Community access

Projects You’ll Build

Showcase-ready, resume friendly.

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Masterclass Speaker

About the Masterclass Speaker

Ex-FAANG • 10+ yrs in Data Platforms • Mentored 1k+ professionals

  • Built petabyte-scale pipelines on cloud
  • Expertise: Spark, Databricks, Airflow, Kafka, Lakehouse
  • Focus on production-grade best practices & interview prep
Reserve Your Seat
Transparent Pricing
₹ 24,999
All taxes included • Seat blocking: ₹999
Monthly EMI₹ -
Total Payable₹ -

What You Get

  • 18+ hours live sessions & labs
  • 3 portfolio-ready projects
  • Recorded sessions & lifetime community
  • Certificate + interview prep
Hurry! Only 23 seats left for this cohort.

Frequently Asked Questions

Beginners to intermediate folks in software, analytics, QA, or students looking to pivot into data engineering.

No. Python familiarity helps. We start from fundamentals and quickly move to hands-on labs.

Yes, recordings are available to all participants along with resources and code.

Full refund within 5 days before cohort start. Seat-blocking fee is non-refundable.

Why Data Engineering is a Promising Career

High demand, strong salaries, cloud-first adoption, and real impact across industries.

Rising demand for Data Engineers
Exploding Demand

Every modern company needs reliable data platforms and pipelines.

Competitive salaries and growth charts on a laptop screen
Top-tier Salaries

Strong compensation with rapid growth for skilled engineers.

Cloud adoption and servers representing migration to cloud
Cloud-First Adoption

Mass migration to Lakehouse & real-time data stacks fuels roles.

AI neural network visualization
AI Runs on Data

ML/GenAI initiatives depend on clean, timely, well-modeled data.

Real-time dashboards and charts for streaming data
Real-time Everything

Streaming, observability & low-latency systems are now baseline.

Remote work desk with world map background
Global & Remote

Work across borders with flexible, remote-friendly opportunities.

Images are representational and for illustrative purposes only.

Upcoming Masterclasses

Live, instructor-led sessions — reserve your seat.

Oct 05 • 7:00 PM IST Live Online
Batch ETL with Spark + Delta

Build a medallion lakehouse with real datasets.

  • Transformations & partitioning
  • Delta Lake optimization
Oct 12 • 7:00 PM IST Live Online
Streaming Pipelines with Kafka

Event ingestion, processing & alerting in real time.

  • Producers/consumers
  • Exactly-once semantics
Oct 19 • 7:00 PM IST Live Online
Orchestrating DAGs with Airflow

Scheduling, sensors, retries & CI/CD for pipelines.

  • Production-grade DAGs
  • Observability & alerts

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