Data Engineering – Tools Track
Learn the essential tools and platforms needed to build scalable, automated, and enterprise-ready data pipelines.
The Data Engineering Tools track is designed to give learners hands-on expertise in ETL processes, data integration, orchestration systems, and governance frameworks. You will learn how to manage end-to-end data workflows that ensure clean, accurate, and reliable data for analytics and business decision-making.
This program prepares you to work with modern data ecosystems used across leading organizations.
What You Will Learn
A comprehensive blend of theory and practical sessions covering:
ETL & Data Integration
Build robust ETL workflows for structured and unstructured data using industry-standard tools.
Workflow Automation & Scheduling
Use platforms like Apache Airflow to manage, schedule, and orchestrate complex data pipelines.
Data Quality & Governance
Implement governance models, data validation rules, lineage tracking, and quality assurance frameworks.
Cloud-Based Data Management
Learn modern cloud data warehousing and transformation tools such as Snowflake and dbt.
Master Data Management (MDM)
Understand how enterprises maintain consistent and accurate data across systems.
Courses Offered
- DWH & ETL
- Customer & Product Data
- Informatica (IICS)
- Data Quality & Data Stage
- Apache Airflow (Scheduler)
- Snowflake & dbt
- Data Governance & Quality
- Master Data Management (MDM)
- Troubleshooting & Issue Resolution
Who Can Study
This track is ideal for:
- IT Graduates & Freshers exploring data engineering career paths.
- ETL Developers & Data Engineers upgrading tool expertise
- BI Professionals managing enterprise data pipelines and quality
- Analysts & Business Professionals working with data-driven workflows