Nicholas Davis Email & Phone Number

New York, NY, US

• (Research/Hospital) Engineered migration from cloud and on-prem databases to EPIC Healthcare storage system.
• (Research) Assisted in developing backend dataflows powering AI analysis of healthcare data.
• (Research) Assisted in software modernization efforts, e.g. local Gitlab → Enterprise Github; Faust → Cloud Kafka; manual code deployments → Github CI/CD via Kubernetes.

New York, NY, US

• Brought on as part of a new compliance team. Modernized legacy code, ported Java processesto Python, assisted in move from proprietary legacy databases to AWS Redshift, and ensuredbackend system compliance with legal.
• Optimized IoT compliance checking process; went from 3-stage manual process to ensuredevices were compliant with security standards to 1-stage automated solution, reducing leadtime dramatically.
• Mentored junior engineers on the team.

San Francisco, California, US

• Full stack engineer (70% backend, 30% frontend)
• Made modernization improvements to core product (Prism) -- Implemented Celery as queue-runner, better enabling multi-threading and improving throughput, helped move from AWS Redshift to Snowflake to reduce costs.
• Made frontend tweaks and improvements where needed, helped implement FE designs for core product upgrade (React FE / Flask BE)

• Wrote Python infrastructure to improve fraud-handling process.
• Facilitated move of business-critical data from on-premises legacy hardware to Amazon Redshift cluster.
• Architected, designed, and deployed graph database (Amazon Neptune) to better facilitateanti-money-laundering services.
• Assisted in ETL process migration from loose, distributed cron-based setup to centralizedAirflow system.
• Reduced technical debt by rewriting legacy Java processes in Python.

• Helped develop initial product. Heavy focus on Python, light work with Django. Side techs: NLP (Stanford NLP library) and OCR (Tesseract engine)

Emeryville, CA, US

• Developed and applied a translation algorithm (traditional to simplified Chinese) over core database of millions of artists, albums, labels and songs, assisting Gracenote's entry into mainland Chinese market.
• Headed up Bandpage initiative to ingest and offer automated matching of Bandpage artists with Gracenote artists. Developed Python solution to scrape, compare, and offer intelligent matches of data.
• Designed artist suggestion algorithm utilized in Gracenote Radio tool yielding lightning fast response times over a curated artist database with over 300,000 artists.
• Migrated high-level music group database from Oracle and TSQL servers to ElasticSearch cluster.
• Reduced technical debt by migrating core data from old Oracle system to new Cassandra cluster. Translated business logic written in PLSQL to C#.

Charlotte, NC, US

• Designed a SQL database to house physician data for 5 hospital systems. Assisted in the implementation of business intelligence tools (SQL Server Analysis Services and Power Pivot) utilizing the database.
• Automated administrative/marketing jobs using C# on the side. Saved over 200 man-hours annually.
• Migrated legacy proprietary medical data systems to function in SQL Server Integration Services (SSIS) framework.