A real AWS pipeline — CloudFormation, Lambda, EventBridge, S3 — tracking 40 years of Brent/WTI oil prices against global shock events and a three-phase recovery model. One flagship build spanning four pillars, from the business question through to the working data product.

1. 1. Global Shock Part 1: Not again!?!
2. 2. Global Shock Part 2: The Heating Oil Industry
3. 3. Global Shock Part 3: It's Just One Pipeline — But You Should Still Architect
4. 4. Global Shock Part 4: Build a Daily Oil Price Pipeline on AWS with CloudFormation and Lambda
5. 5. Global Shock Part 5: How I Hooked Oil Prices, Shock Events, and Recovery Phases Together
6. 6. Global Shock Part 6: What We Can Conclude

Mapping Britain's energy infrastructure — offshore wind, oil & gas, power infrastructure — against natural hazard data (storm tracks, flood zones, seismic activity) to answer one question: what's on risk, and where. Built entirely from public data, pipeline and repo open for anyone to explore.

1. 1. Where the Risk Lives — Part 1: The news can be scarey
2. 2. Where the Risk Lives — Part 3: Building an Energy Asset Exposure Pipeline on AWS
3. 3. Where the Risk Lives — Part 2: Why I Chose This Architecture
4. 4. Where the Risk Lives — Part 4: Going Live
5. 5. Where the Risk Lives — Part 5: What the Numbers Actually Mean

Do severe UK storms line up with more or longer unplanned outages across generation assets? Built on public Elexon REMIT unavailability messages and NESO curtailment data, tested against a named-storm catalogue, and kept to correlation rather than causation.

1. 1. Storm-Outage Part 1: El Niño Is Back
2. 2. Storm-Outage Part 2: Picking Data I Can Actually Defend
3. 3. Storm-Outage Part 3: Building the Pipeline
4. 4. Storm-Outage Part 4: What the Data Actually Says