Vice President Of Engineering, Data
CurrentLeading data engineering practice for InvestmentTech B2B research and data insights platform. Primarily responsible for building data architecture to source public and private date and curate that data into a data product to be used on our consumer web product. I also contribute to overall architecture, engineering and product practices/processes and hiring processes and to the Platform/DevOps capabilities.Notable ProjectsData Architecture - Introduced a data process responsible for "Sourcing", "Staging" and "Normalizing" data in a standardized and decoupled architecture, implemented through a kafka driven eventbus. Replaces a disparate, batch and tightly coupled collection of data pipelines. Additionally separated the product database from the analytics database, and introduced new representations of our data to solve different needs. ADV Data Collection - Implemented the sourcing and normalization of ADV data publically available from the SEC to automate creation of Fund Managers and related information that was previously an entirely manual process or data that was unavailable.People Data Collection - Co-Architected solution to source and normalize people data for investment firms into data model for product use. Primarily responsible for normalization of data and API development.DevOps/Infrastructure Practice - Reviewed and established good DevOps and Infrastructure practices including: migration to Github, implementation of CI/CD pipelines for linting and testing, implementing terraform for IAC, improving our AWS networking implementation, implementing SonarCloud static code analysis and interviewing and negotiating contract for DevOps resources.