• Lead the implementation and roll-out of Princes modern data stack.• Use SQL and Snowpark to implement object level role-based access controls in Snowflake.• Implement new Snowflake features as they are released such as Streamlit applications for visualising database roles or 'create or alter' for declarative object management.• Ingest data from multiple sources using Matillion ETL, Alteryx Designer and Python, including but not limited to SAP ECC, SAP Datasphere, Microsoft Graph, Docusign, Salesforce and Sharepoint.• Built a CI/CD process using Matillion, git and Azure Devops enabling data engineers to work on feature branches safely, in parallel and with the benefits of version control.• Experience with test driven development using Pytest and Matillion asserts.• Use Matillion ETL to build and orchestrate data pipelines.• Facilitate regular pair programming sessions for data engineers, fostering collaboration and skill development.• Oversee and manage a data engineer, ensuring alignment with project goals and professional growth.• Work with senior stakeholders to deliver data products that solve business problems.• Assessed components of a modern data stack (including native Azure and AWS services, Matillion ETL, Fivetran, Databricks, Snowflake and Microsoft Fabric) via proof of value implementations.•Enrolled on an Advanced Data Fellowship BSc apprenticeship degree with Multiverse completing hands-on projects using technologies such as Python, Pytest, git and Github Actions.

• Regularly build data pipelines using Python, Jupyter Notebooks and Alteryx.• Experience with T-SQL and extracting data from Microsoft SQL Server.• Experience with and knowledge of the SAP landscape, including SAP BW.• Regularly customise and optimise PowerBI dashboards using DAX and M respectively. • Present and explain complex topics to a wide variety of technical and non-technical senior stakeholders.• Proven track record of thinking outside of the box to deliver solutions that provide immediate business value.• Written VBA scripts that provide efficiency gains for existing processes.• Played a key role in implementing a business wide colleague attendance platform. This includes building bespoke reports in a proprietary scripting language as well as teaching managers across sites how to use the system.

• Taught object oriented programming and data science/machine learning using Python.• Taught data ingestion, preparation and dashboard development using PowerBI.• Taught across many courses including masters degrees in Data Science.

• Built a random forest model to predict employee turnover.• Built a time series forecasting model to forecast business wide inclusion metrics. These forecasts were then used to set long term inclusion targets for the whole business.• Automated the creation of presentation ready slide decks using Python.• Used Flask and Python to create a web app. The app's function used NLP to extract sentiment from a text transcript and output this as a data visualisation on the web page.• Use Excel, SQL and Python on a daily basis to produce reports, find insights and build models. • Presented insights from data analysis to senior stakeholders across the business.• Presented and taught data science and programming techniques to other colleagues.

• Extracted insights from question-level analysis data from the previous GCSE exams using Microsoft Excel and Microsoft Forms.• Delivered professional development to the department after attending training courses and conferences.• Showed leadership skills, responsible for the department when the head of department was out of school.

• Advanced knowledge of mathematics used to teach mathematics and statistics up to and including A-Level.• Perfected presentation and communication skills by teaching over 2000 1-hour lessons.• Promoted to second in department after 2 years due to demonstrated competence, reliability and teamwork.

• Taught undergraduate students how to the use R to solve a variety of problem sheets.• Demonstrated ability to query and visualise data or to solve problems such as finding a linear regression. • Communicated how to use R in a user-friendly way.