Data Engineering & Real-Time Analytics
Learn modern data engineering with Python, SQL, Snowflake, dbt, Airflow and Spark. Build ELT, streaming and data quality systems.
The VidhaiX Data Engineering program teaches how to design data pipelines and analytics platforms using Python, SQL, Snowflake, dbt, Apache Airflow and Apache Spark.
Who Is This Course For?
Data Engineer / Analytics Engineer / BI Architect
₹8L - ₹18L CTC
Live code reviews, debugging guidance, and small learning cohorts.
How Does Mentorship Work?
Build and ship working software instead of passive video recordings.
Senior engineers inspect your Pull Requests and teach clean architectural habits.
Resume optimization, mock technical interview grilling, and direct hiring referrals.
How Does the Curriculum Work?
Structured progressive modules designed to build compounding engineering mastery.
Analytical SQL & Dimensional Data Modeling
Analytical window functions, star/snowflake schemas, query optimization, and Python data tools.
Analytical window functions, star/snowflake schemas, query optimization, and Python data tools.
Cloud Warehousing & dbt Transformations
Snowflake architecture, dimensional modeling, automated testing, and dbt documentation.
Snowflake architecture, dimensional modeling, automated testing, and dbt documentation.
Pipeline Orchestration & Distributed Spark
DAG construction with Apache Airflow, distributed processing with Spark, and cluster tuning.
DAG construction with Apache Airflow, distributed processing with Spark, and cluster tuning.
Streaming Analytics & End-to-End Capstone
Real-time event streaming pipelines, data governance, and complete data platform capstone.
Real-time event streaming pipelines, data governance, and complete data platform capstone.
What Projects Will You Build?
Real applications with production architectures to showcase on your GitHub profile and resume.
Automated ELT Pipeline with Airflow & dbt
Ingesting operational databases, transforming data models with dbt, and loading into Snowflake.
Real-Time Clickstream Streaming Engine
Processing millions of event clicks with Apache Spark and generating live dashboards.
Automated Data Quality & Lineage Suite
Continuous schema validation tests and Great Expectations anomaly alerts.
Frequently Asked Questions
What does a Data Engineer do?
Data engineers build the automated pipelines and infrastructure that clean, transform, and move raw data into analytical warehouses where it can be used for business intelligence and AI.
Ready to master Data Engineering & Real-Time Analytics?
Speak directly with our technical admissions mentor to discuss batch timings, prerequisites, fee plans, and career placement options.