Data Infrastructure

Data Engineering

Build the pipelines, warehouses, and infrastructure that power data-driven organisations. Learn Python, SQL, Apache Kafka, Spark, and modern data-stack tools used to process and manage data at scale.

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What You'll Learn

Skills You'll Walk Away With

Python for data engineering.
SQL and advanced query optimisation.
Building ETL and ELT pipelines.
Apache Kafka for real-time data streaming.
Apache Spark for large-scale data processing.
Data warehouse design with Snowflake and BigQuery.
Data transformation with dbt.
Workflow orchestration with Apache Airflow.

Curriculum

Course Modules

A structured curriculum focused on data engineering concepts, practical workflows, and industry-relevant tools.

Module 1: Python & SQL for Engineers

Python data types, functions, and libraries including Pandas and NumPy.
Advanced SQL: CTEs, window functions, and indexing.
Database design principles.
Writing efficient, production-ready queries.

Module 2: Data Pipelines & ETL

ETL versus ELT architectures.
Building pipelines with Python.
Data quality checks and validation.
Pipeline testing and monitoring.

Module 3: Real-Time Streaming

Apache Kafka architecture and concepts.
Producers, consumers, and topics.
Kafka Connect for data integration.
Stream processing with Kafka Streams.

Module 4: Big Data with Spark

Spark architecture and execution model.
DataFrames and RDDs.
Spark SQL for analytical queries.
Cluster management and optimisation.

Module 5: Data Warehousing

Snowflake and BigQuery setup.
Star and snowflake schema design.
dbt models and transformations.
Incremental loads and materialisation strategies.

Module 6: Orchestration & Capstone

Apache Airflow DAGs and scheduling.
End-to-end pipeline from ingestion to dashboard.
Monitoring and alerting for pipelines.
Final project presentation and review.

Who This Is For

Is This Course Right for You?

📊

Data Analysts

Analysts wanting to move from querying data to understanding and building the infrastructure behind it.

⚙️

Software Engineers

Engineers interested in specialising in data pipelines, processing systems, and data platforms.

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Business Analysts

Business analysts looking to develop deeper technical knowledge of data systems and infrastructure.

Your Instructor

Meet Your Instructor

Chukwuemeka Adeyemi

Lead Data Engineer & Platform Architect

Chukwuemeka is presented as a data engineering specialist focused on scalable data platforms, including technologies such as Spark, Kafka, and modern cloud data warehouses. Contact the H-Tech team for instructor details and training arrangements.

Testimonials

What Our Students Say

★★★★★

"H-Tech completely changed my career trajectory. The instructors are world-class and the curriculum is exactly what the industry needs. I landed my first data engineering role within two months of completing the programme."

Hassan Gray

Data Engineer, Lagos

★★★★★

"The live sessions and hands-on projects gave me real confidence. The Airflow and Kafka modules alone were worth the entire programme. H-Tech's approach is practical, not just theoretical."

Emeka Obi

Junior Data Engineer, Abuja