Advanced Data Engineering Mastery

Description

The Advanced Data Engineering Course is designed to help you master the full stack of modern data engineering, from raw ingestion to real-time analytics and intelligent data communication.

Whether you’re working with batch pipelines, real-time systems, or hybrid models, this course gives you the tools to confidently build enterprise-grade solutions using the most in-demand technologies like Apache Iceberg, Trino, Airflow, dbt, Spark, Snowflake, Kafka, and Databricks.

You’ll dive deep into dimensional and fact modeling with Iceberg, create streaming pipelines, orchestrate workflows with Airflow, build SQL-based transformation layers with dbt, and even explore LLMs and modern data visualization for stakeholder reporting.

What sets this course apart is its career-driven structure. In addition to advanced engineering content, you’ll gain practical skills in interview prep, stakeholder communication, and resume-ready project work — all with the support of TA office hours, guest speaker sessions, and community engagement.

✅ What You Will Learn:

🚀 Cutting-Edge Tools & Technologies

• How to build scalable lakehouse architectures with Apache Iceberg + Trino

• Real-time data orchestration using Apache Airflow + Trino

• Snowflake integration for scalable warehousing and dbt for transformation (from basic to advanced)

• Getting started with Databricks and advancing to production-grade Spark pipelines

• Streaming pipelines using Kafka + Spark Streaming for real-time data processing

🧱 Data Modeling, Testing & Quality

• Fact and dimensional data modeling with Apache Iceberg

• Building robust pipelines with unit and integration testing in Spark

• Implementing data quality patterns and validation in Airflow

• Using dbt for declarative transformations and testing layers

• Analytical SQL patterns for reporting and performance optimization

📊 Analytics, Visualization & Business Impact

• Designing analytical patterns using Trino

• Effective data impact communication for stakeholders

• Visual storytelling with analytical dashboards

• Aligning data architecture with business metrics

🧠 Modern Concepts: LLMs & CDC

• Introduction to Large Language Models (LLMs) in data workflows

• Implementing Change Data Capture (CDC) for near real-time analytics

• Bonus sessions on using LLMs for data automation and reporting

🎓 Career Preparation & Community Learning

• Interview prep for analytics and data engineering roles (IC level)

• Career development sessions with real-world guidance

• Access to TA office hours for hands-on support

• Engaging guest speaker sessions from data leaders

• Active community platform for networking and problem-solving

• Training on communication, presentation, and interview skills

👤 Who Is This Course For?

• Mid to senior-level data professionals aiming to upgrade to modern stacks

• Analysts and BI developers transitioning into engineering roles

• Data engineers working with legacy systems looking to move to cloud-native tools

• Anyone preparing for data engineering interviews or advanced IC roles

• Developers seeking real-world, end-to-end project implementation skills

• Anyone looking to master the full modern data engineering lifecycle with hands-on expertise

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