Data-Engineering on Derrek

Day 6: Building an F1 Race Viewer with Azure and Hugo

Sat, 14 Mar 2026 00:00:00 +0000

With the F1 data pipeline running automatically after every race, the next step was making the data actually useful — turning raw JSON in blob storage into something you’d actually want to look at.

What We Built

The F1 page on this site shows:

Full race results with finishing positions
Fastest lap indicator per race
Tyre strategy visualization for every driver
Pit stop times on hover
A race selector covering the full 2025 season and 2026 onwards

All of it updates automatically after each race with zero manual intervention.

Day 5: Building an F1 Data Pipeline with OpenF1 and Azure

Mon, 09 Mar 2026 00:00:00 +0000

I’m an F1 fan. So when it came time to build out my data engineering portfolio, pointing a pipeline at Formula 1 telemetry data was a no-brainer.

The Goal

Build an automated pipeline that ingests F1 race data into Azure Blob Storage after every Grand Prix — without me having to do anything. No manual triggers, no leaving my laptop on, no babysitting.

The Data Source

OpenF1 is a free, open-source API that provides real-time and historical F1 data — lap times, pit stops, telemetry, weather, driver info — all of it. No API key required for historical data. It’s genuinely one of the nicest public APIs I’ve worked with.

Data Engineering on Azure: Building My First ETL Pipeline

Thu, 05 Mar 2026 00:00:00 +0000

Data Engineering on Azure: Building My First ETL Pipeline

Day 4 of the cloud engineering transition. Today I crossed into data engineering territory — spinning up Azure Storage and Data Factory infrastructure with Bicep, then writing a Python ETL pipeline that pulls live weather data and lands it in Azure Blob Storage.

It’s a simple pipeline by design, but it covers the full ETL pattern that every data engineering project is built on.