I am the Senior Database Administrator at Outcome Health, a digital health tech company in Chicago, Illinois. I have over a decade of experience (mostly in trading & financial markets) serving in roles as a database administrator, data architect, developer, systems engineer, and data center engineer. I attended college at DePaul University.
My professional interests include big data, analytics, devops, algorithmic trading, machine learning, statistical computing, and automation. Some of my other interests include volleyball, football, snowboarding, bass guitar, cooking, cryptocurrencies, web design, and mobile app development.
I have a wife named Jessica and a dog named Finn. They are awesome.
I have extensive experience in data architecture and database administration. This includes design, development, deployment, 24x7 production support, performance tuning, and analytics. I've worked with MS SQL Server, PostgreSQL, MySQL, Oracle, and Amazon RDS.
I've deployed and managed production MongoDB, Apache Cassandra, HP Vertica, and Amazon Redshift clusters. I am experienced with writing ETLs and leveraging big data for analytics using tools such as Tableau, SSRS, SSAS, Cognos, MS Excel, IPython Notebook, and Amazon QuickSight.
Fascinated with machine learning. Particularly focused on the application of machine learning and neutral networks to financial markets. Some tools I regularly use include NumPy, Pandas, SciPy, scikit-learn, and R.
I've written, backtested, and deployed strategies across almost all asset classes. I specialize in volatility and currency trading. I use Python with Zipline, Quandl, and the Interactive Brokers API. Quantopian for idea generation.
Red Hat Certified Engineer. Strong background in systems administration, continuous integration, and 24x7 support. Amazon AWS, SaltStack, ELK Stack, Bamboo, Docker, Git, Subversion, VMWare, etc.