Proficient in Python, from building ETL pipelines, grabbing market/trade data from exchagnes, processing risk/PnL booking system to web development with FastAPI
Used Pandas extensively for data manipulation utilizing vectorised operations, cleaning and analysis of large datasets. Familiar with time series data and financial data analysis.
Used Linux/Bash widely for basic scripting as DevOps engineer providing L2 Support for Fixed Income Credit Trading Desk
Used as OLAP. Manage over 300TB of data with Devops engineer. Use simple SQL from day to day queries to complex queries on Grafana for visualization and analysis.
Used as OLTP database to store unstructured data, and to store trade and market data for low latency retrieval.
For CICD deployment of microservices and ETL pipelines. Familiar with creating declarative pipelines as code using Jenkinsfile
Led project to decommision On-prem Solaris servers and migrated to Linux with the use of docker containerization for batch reporting and to host UAT environments
Sinks realtime data from kafka to clickhouse for low latency retrieval of market and trade data. Used kafka both as message queue and streaming platform
Used Kubernetes/ArgoCD gitops in distributed computing to host Spark, YARN for heavy computation of training machine learning models
Created meaningful dashboards and focus on creating actionable alerts instead of noise. reducing time to detect and response to incidents
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DSO National Laboratories
2016

DBS Bank
July 2017 - Feb 2020

DBS Bank
Aug 2021 - May 2024
Crypto.com
May 2024 - Present
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Asian Leadership Program (Exchange)
2016 - 2016

Winter Independant Activity Period (Exchange)
2017 - 2017

Engineering Product Development (Bachelors of Engineering)
2014 - 2017

Master of IT in Business (MITB)
2020 - 2022