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Todd De QuinceyTD

Todd De Quincey

Lead Data Engineer

€450/day
Montpellier, FR
8-15 years

Average response time: 1 hour

About Todd

A Data Engineer with a robust history in start-up businesses. Highly proficient in Python and SQL, with significant experience in both migrating legacy codebases, as well as implementing greenfield solutions from the ground up using modern best practices and solutions. A proven self-starter with the willingness and ability to independently research and implement best practice solutions. Always willing to learn new skills and take on unknown challenges. Excels in ambitious, entrepreneurial and challenging work environments with a high degree of autonomy.
  • English

    Native or bilingual

  • French

    Conversational

Remote only
Primarily works remotely

Experience

  • Midnite
    Lead Data Engineer
    TECH
    April 2022 - Today (4 years and 2 months)
    France
    Lead Data Engineer responsible for the full design and implementation of greenfield data infrastructure
    Airflow Python DBT Datawarehouse
  • Bidnamic
    Data Engineer
    January 2021 - Today (5 years and 5 months)
    Data Engineer working with Python, Airflow, Postgres and AWS to develop a market leading Google Shopping bid optimisation solution.
    • Redesigned the entire source data ingestion process and migrated legacy code to new Google Ads API.
    • Researched, recommended and implemented best practice of continuous data quality monitoring in pipelines.
    • Designed and implemented a standardised library of reusable and fully unit tested data cleaning utilities.
    • Designed and implemented company parquet lake to provide analytics capabilities to the wider business, utilising AWS Athena as the query engine.
    • Designed internal tooling and components to standardise data lake and parquet lake file paths to provide integrity to the lake structures and underlying data.
    • Independently identified performance bottlenecks and delays, recommended and implemented best practice solutions, including SQL query optimisation and implementation of indexes and other best practices.
    • Identified Airflow anti-patterns causing performance bottlenecks and system reliability issues, recommended and implemented best practice solutions.
    • Migrated legacy exchange rates codebase to a simple, but powerful internally managed system.
    • Provided constructive feedback on PR reviews of colleagues and peers.
    • Ensured all work was thoroughly unit tested by using a TDD approach.
  • graze.com
    Data Engineer
    March 2020 - December 2020 (9 months)
    London, UK
    Lead Data Engineer responsible for the design, implementation and maintenance of the Unilever UK Insights Hub, an Azure-based big data platform, enabling a shift to a data-driven decision-making process in the UK.
    • Researched, designed and implemented best-practices for key technologies in the architecture including Azure Data Lake Storage, Databricks Delta Lake, Spark, Data Factory and Azure SQL Data Warehouse
    • Identified limitations of Azure services and designed appropriate solutions to achieve business objectives.
    • Designed, implemented and maintained over 24 data pipelines, delivering over 100TB of data to data analysts, data scientists and business-oriented end users.
    • Worked with the Data Science team to provide clean and timely data, enabling the timely delivery of business objectives.
    • Assisted the CTO in key decisions of the overall architecture of the UK Insights Hub.
    • Trained, mentored and assisted with junior members of the data engineering and wider data team.

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Education

  • Post-Graduate Diploma of Science, Data Science
    University of Southern Queensland
    2019
    Post-Graduate Diploma of Science, Data Science
  • Graduate Diploma Chartered Accountancy, Accounting and Business/ Management
    Chartered Accountants Australia and New Zealand
    Graduate Diploma Chartered Accountancy, Accounting and Business/ Management

Skill set (21)

Categories