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Build a complete data solution for a multinational organisation, from data acquisition to analysis . Write Python code to extract large datasets from multiple data sources. Utilise the power of Pandas to clean and analyse the data. Build a STAR based database schema for optimised data storage and access. Perform complex SQL data queries to extract valuable insights and make informed decisions for the organisation.
Build an experiment analytics data pipeline on AWS which runs thousands of experiments per day and crunches billions of datapoints to provide valuable insights to improve the product.
Create a multi-page Power BI report for C-suite executives, using diverse data sources. Build a data model, advanced measures, and interactive features like slicers, pagination, and a map.
Showcase your cloud engineering expertise by designing and deploying a Microsoft Azure database system. Include migration, disaster recovery simulations, and geo-replication to improve data management and availability.
Showcase DevOps skills by building a pipeline to containerise, deploy, and manage a web app on Azure Kubernetes Service (AKS), using Git, Docker, Kubernetes, and Terraform, focusing on version control and cloud-native deployment.