This repo stores blog entries from the Lolamarket Engineering Blog. Series: - Prefect series - How we use Prefect - Our Prefect deployment - Where Prefect shines - Where Prefect doesn't shine - How to organize flows - DRY and our complementary toolbox - Great Expectations series - [x] GE in Lolamarket - Our deployment with AWS and Slack - Data Contracts with backend - Where GE shines - Where GE doesn't shine - Trino series - [x] Trino in Lolamarket - Challenges we have faced with Trino - Where Trino shines - Where Trino doesn't shine - Tips and tricks when working with Trino - Differences between Trino SQL and MySQL SQL - How our deployment looks like - Looker series - How we use Looker - Migrating from Metabase to Looker - Why Looker beats other visualization tools - Challenges we have faced with Looker - Interviewing series - How we do interviews - How to prepare for an interview - Business-oriented series - Year 2022 in numbers - Airbyte series - Airbyte in Lolamarket - Deployment of Airbyte - Where Airbyte shines - Where Airbyte does not shine - --- ## ChatGPT context helper A few things for you to take into account: - I work as a Data Engineer. - My company is called Lolamarket. - This post will be published in the our tech and engineering blog. - The purpose of the post is to show to the world how we use our technologies, hopefully impressing and seducing potential candidates for technical positions. - I want to post to showcase a great technical skill and knowledge.