Data Engineer

• Aug 2022 - Present

• Perform ETL using SparkSQL/PySpark to collect and load data from different platforms into thedata warehouse.• Build and maintain existing data pipelines using the Delta Lake MedallionArchitecture.• Collaborate with different stakeholders to gather and understandbusiness requirements.• Build and curate BI reports using Microsoft Power BI according to specific requirements from therelevant stakeholders.• Assist in developing tools/processes for data democratization andenabling self-service analytics by providing Data Workshops to the widerbusiness.• Assist in building automation and platform integration tools/processes toreduce the manual work done by other stakeholders by 80%.

Graduate Data Engineer

• Jan 2022 - Aug 2022

Pharmacy Assistant

• Jun 2021 - Jan 2022

• Part of the retail team to assist customers with any help and general store maintenance. • Marks off and sorts out newly arrived stock before being passed on to floor staff. • Restocks and face-up shelves when new stock has arrived. • Part of the retail team to assist customers with any help and general store maintenance. • Marks off and sorts out newly arrived stock before being passed on to floor staff. • Restocks and face-up shelves when new stock has arrived.

Sales Assistant

• Sep 2019 - Oct 2021

• Assisted in the sale of bakery goods to customers. • Opened the shop independently at 6.30am. • Restocked and face-up merchandise throughout the day. • Assisted in the sale of bakery goods to customers. • Opened the shop independently at 6.30am. • Restocked and face-up merchandise throughout the day.

Data Science Intern

• Dec 2018 - Feb 2019

• Utilized machine learning models to reduce the number of alerts in the Anti Money Laundering (AML) system. • Created the framework for the AML project to create customer-level thresholds based on previous transactions which were predicted to reduce the alerts by 50%. • Created meeting decks to facilitate meetings with the Group Compliance team for future discussion of the project. • Utilized machine learning models to reduce the number of alerts in the Anti Money Laundering (AML) system. • Created the framework for the AML project to create customer-level thresholds based on previous transactions which were predicted to reduce the alerts by 50%. • Created meeting decks to facilitate meetings with the Group Compliance team for future discussion of the project.