AI & Data Intermediate Enterprise Big Data

Big Data Engineering: Apache Spark & Kafka

Build distributed data pipelines, real-time streaming architectures with Apache Kafka, data lakes, and batch processing with Spark.

★ 4.8 (340 Reviews)
⏱ 16 Weeks (160+ Hours)
💼 100% Placement Support
Aman Verma
Taught by Aman Verma Big Data Architect & Cloud Data Lead
Big Data Engineering: Apache Spark & Kafka
Interactive Live Mentorship Batches

Program Overview

Learn how tech giants process billions of events per day. Master distributed computing with Apache Spark, real-time event streaming with Apache Kafka, data lakehouses with Delta Lake, and workflow orchestration with Apache Airflow.

What You Will Master:

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Master distributed data processing concepts (HDFS, MapReduce, RDDs, DataFrames)
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Write optimized batch and streaming data pipelines using PySpark and Spark SQL
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Architect real-time streaming data ingestion with Apache Kafka and Schema Registry
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Build ACID-compliant data lakes using Delta Lake and Apache Iceberg
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Orchestrate complex multi-stage DAG data pipelines with Apache Airflow
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Deploy and query cloud data warehouses (Snowflake, AWS Redshift) with dbt

Industry-Aligned Curriculum

Designed with tech leads to bridge theory with real enterprise engineering demands.

5 Modules • 16 Weeks Structured Track • Hands-On Live Coding Labs
01 Big Data Foundations & Distributed Systems
Weeks 1-3
  • Limits of single-node computing, scaling out vs. scaling up
  • Hadoop ecosystem: HDFS architecture, NameNode/DataNode, and distributed storage
  • Data file formats: Parquet, ORC, Avro vs. CSV/JSON performance and columnar storage
02 Apache Spark & PySpark Processing
Weeks 4-7
  • Spark architecture: Driver, Executors, Cluster Manager, and DAG execution
  • PySpark DataFrames, transformations, actions, and lazy evaluation
  • Spark SQL, window functions, user-defined functions (UDFs)
  • Spark performance tuning: Shuffling, partition sizing, caching, and broadcast joins
03 Real-Time Event Streaming with Apache Kafka
Weeks 8-11
  • Kafka architecture: Topics, partitions, brokers, producers, and consumer groups
  • Message serialization with Apache Avro and Confluent Schema Registry
  • Spark Structured Streaming: Watermarking, sliding windows, and exactly-once semantics
04 Modern Data Lakehouse (Delta Lake & Snowflake)
Weeks 12-14
  • Data lakehouse architecture (Medallion: Bronze, Silver, Gold layers)
  • Delta Lake: ACID transactions, time travel, schema enforcement, and compaction
  • Cloud data warehousing with Snowflake and transformation pipelines with dbt
05 Workflow Orchestration (Airflow) & Placement
Weeks 15-16
  • Airflow architecture: Webserver, Scheduler, Metadata DB, and Celery workers
  • Designing resilient DAGs, task dependencies, retries, and SLA alerts
  • Interview coaching for Big Data Engineer, Data Platform Engineer, and resume prep

Production Capstone Projects

Build verified GitHub repository projects to showcase in your portfolio and resume.

Streaming Capstone

Real-Time Clickstream Analytics Platform

Ingests 100,000 events/sec via Kafka, aggregates metrics in real time with Spark Structured Streaming, and writes to Delta Lake with Grafana dashboard.

Data Lakehouse

Automated Financial Data Lakehouse with Airflow

Multi-stage Airflow DAG extracting daily market feeds, performing transformations with PySpark, and loading into Snowflake with automated dbt testing.

Event-Driven

CDC (Change Data Capture) Pipeline with Debezium

Streams real-time database changes from MySQL into Kafka topics and updates the analytical data warehouse with sub-second latency.

Technologies & Tools You Will Use

Practical mastery on the modern tech stacks demanded by high-growth startups and tech giants.

Apache Spark PySpark Apache Kafka Delta Lake Apache Airflow Snowflake AWS EMR PostgreSQL Docker Python

Learn from Industry Veteran

Live mentorship and code reviews from practitioners who have shipped software at scale.

Aman Verma

Aman Verma

Big Data Architect & Cloud Data Lead

12+ years building petabyte-scale distributed data platforms on AWS and GCP. Expert in PySpark, Kafka streaming, and modern data warehouses.

Career Outcomes & Placement Support

Comprehensive career guidance from Day 1 to land competitive tech roles.

Target Roles You Qualify For:

🎓 Big Data Engineer 🎓 Data Platform Architect 🎓 Data Infrastructure Specialist 🎓 ETL / Streaming Developer
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Resume & LinkedIn Review by hiring managers
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1-on-1 Mock Technical & Behavioral Interviews
🤝
Direct Placement Referrals to 500+ Partner Companies

Book a Free Live Demo Class

Experience our interactive teaching before enrolling. Fill this quick form and our counseling team will send the session invite.

Frequently Asked Questions

Got questions about admissions, batch schedules, or refunds? Here are quick answers.

Who is eligible to join this course?

College students, fresh graduates, and working professionals looking to upskill or transition into high-paying tech careers are all eligible. Basic familiarity with computer operations is sufficient; foundational concepts are thoroughly taught in the initial modules.

What happens if I miss a live class?

All live lectures are recorded in high-definition and uploaded to your student portal within 2 hours. You retain lifetime access to recordings, lecture slides, code repositories, and batch discussion forums.

How does the monthly EMI payment work?

We offer flexible zero-cost and low-cost monthly EMI options starting at just ₹2,416 / month. You can split the tuition without financial stress and focus 100% on learning.

Will I receive a recognized certificate?

Yes! Upon completing the syllabus and submitting the required capstone projects, you will receive an industry-recognized Certificate of Completion from Talvion IT Academy with a verifiable credential ID for LinkedIn.

₹28,999 EMI ₹2,416 / month

Reserve Your Seat

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