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Achievement: Public SponsorAchievement: QuickdrawAchievement: StarstruckAchievement: Pull SharkAchievement: Arctic Code Vault Contributor

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anneglienke/README.md

Hi there 👋

I'm Anne Glienke and this is my GitHub profile. I do my best to share what I'm learning and to keep well-documented repos. I hope you find something useful around here! 😄

  • 💻 Data Engineer, former Data Analyst
  • 🏢 Currently working for Reach PLC
  • 🌎 Based in London, England
  • 👩‍💻 More about me: LinkedIn / Medium

Repository naming conventions:

  • challenge: prefix to identify non-confidential coding challenges I worked on. I only post the ones I passed but they're not necessarily from companies I joined.
  • 101: prefix to identify exploratory repos I created when learning something new. These repos usually cover only one topic and they're kinda like a tutorial you can follow to explore tools/features yourself as well.
  • DE: Data Engineering
  • DA: Data Analysis
  • project: pet projects

Extra:

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  1. 101_upsert-delta 101_upsert-delta Public

    This repository exemplifies a simple ELT process using delta to perform upsert and remove data files that aren't in the latest state of the transaction log for the table.

    Python 76 6

  2. 101_terraform 101_terraform Public

    This repository creates the following resources on AWS: IAM User Groups, Roles, Policies and Attachments; S3 buckets; Glue Crawler and Athena. It also builds and tests what's been createad with a G…

    HCL 22 1

  3. 101_pre-commit 101_pre-commit Public

    This repository introduces some cool checks/formatting features that aim to ensure code quality and consistency.

    Python

  4. 101_pytest 101_pytest Public

    This repository explores pytest.

    Python

  5. challenge_DE_UK_2023Q1 challenge_DE_UK_2023Q1 Public

    This repository contains a Python script that reads an input file and output three CSV files.

    Python

  6. challenge_DE_Germany_2022Q4 challenge_DE_Germany_2022Q4 Public

    This repository contains an ETL script and some SQL queries to analyse data.

    Python 2