Position: Data Engineer
Category: Data Engineer
English level: fluent
Years of experience: 0.5

Studied in an international school in Hong Kong(Ontario curriculum)
Studied in the U.S.
Opened a consulting business as a hobby, serving clients with interest in tourism, relocation, e-sports.
I have worked as a Data Engineering Intern at Ignatica, a Hong Kong based insurtech startup. I was responsible for data engineeringing tasks such as ETL in Spark on top of Azure, creating SQL views, writing cronjobs and various bash code to supplement Spark streaming with internal batch jobs. 

Moreover, I was tasked with setting up Hyperledger Sawtooth blockchain infrastructure and achieving node replication on Azure cloud. Automated spin-up with Terraform, visualised with Grafana.

Technologies Used: SQL/Mongo/Hive, PySpark/Scala, Airflow/Databricks, Azure, Terraform, Grafana, Blockchain

During my time at a university in the U.S. I was a part of LIGO Scientific Collaboration as a Quantitative Student Researcher, working on gravitational wave glitches and categorising them to help scientists find unique signals that correspond to important cosmic events, such as black hole mergers. The technology, and job requirements varied during my 2 years as a student researcher, but it was mostly Data Science and Data Engineering

All of my skills were learned independently, or during the job I was assigned to do, which gives me confidence to quickly pick up the skills unique to your project.
As a first, entry-level job, my expectations are to learn on top of what I already know. I am confident that I can get up to speed with what your company is already doing in a short amount of time and swiftly pick-up new tech skills if the need arises.