I am a data architect specialising in Cloud migrations. I have an extensuve history specialising in data; working in architecture, engineering as well as administration. I tend to preferr a hands on approach to ensure I am providing scalable solutions that are tailored to optimising applications as well as leaving room for impactful and responsive analytics, Though I also have managing a team.
Modern tech stacks are ever increasing in their demand for realtime, accurate datasets; Data optimisation has never been more critical than it is today. With the introduction of AI, Accuracy is more pivotal than it has ever been. Introducing modern technologies to aging tech can help revitalise analytics, But (in my opnion) the most important aspect of architecture; Is a clean dataset. A clean dataset is the difference between an informed decision, and a wild guess.
Here are a few technologies I've been working with recently:
- AWS
- Azure
- Power BI
- Snowflake
- Postgres
- MSSQL
- MySQL
- Mongo DB
- Redis
- Kafka