Big Data on the Cloud
Data EngineerIntermediate to Advanced

Big Data on the Cloud

AWS, GCP, and Azure for data engineers, Delta Lake, Snowflake performance, Terraform, GitHub Actions CI/CD, and a two-part cloud migration capstone.

8 Weeks8 modules6 Modules + 2-Part Capstone
What you'll build5 outcomes
  1. 01Navigate core services on AWS, GCP, and Azure relevant to data platforms.
  2. 02Design storage and compute patterns across the major clouds.
  3. 03Implement modern lakehouse patterns with Delta Lake and open table formats.
  4. 04Tune Snowflake for performance, cost, and governance.
  5. 05Automate infrastructure with Terraform and ship pipeline changes with CI/CD.
Full curriculum8 items · 2 projects
01Cloud Foundations : AWS, GCP & Azure for Data Engineers
02Cloud Storage & Compute Services Across the Big Three
03Modern Lakehouse : Delta Lake & Open Table Formats
04Snowflake at Scale : Performance, Cost & Governance
05Infrastructure as Code with Terraform
06CI/CD for Data Pipelines with GitHub Actions
07Capstone Project Part 1 : Cloud Migration, Plan & Build
Project
08Capstone Project Part 2 : Ship, Optimize & Review
Project
Instructor
Dulanga Jayarathna

Dulanga Jayarathna

Instructor · Associate Tech Lead

Dulanga Jayarathna is an Associate Tech Lead at PickMe (Digital Mobility Solutions Lanka) and an associate instructor at Zuu Crew AI. He specialises in data engineering and analytics, with deep hands-on experience building scalable data systems.

MSc Big Data Analytics (Merit) : Robert Gordon University, UKBSc (Hons) Information Technology : University of MoratuwaAssociate Tech Lead : PickMe | Digital Mobility Solutions Lanka

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