Tom Russell
Data Engineer at InStride Health
- Role
- Senior Data Engineer at InStride Health
- Location
- Boston, MA, US
- LinkedIn followers
- 500 followers
About Tom Russell
Skills: Hands-on data engineering, integration, stewardship, warehousing, reporting, and analytics; technology strategy, implementation, and management; database design and development; business intelligence/analytics application design, development, support, and training.Functional areas: IT, Marketing, HR, Finance/Accounting, Operations, Product Management.BI platforms: Looker, Sigma, GoodData, Birst, Google Data Studio, dbt, MatillionProgramming languages: SQL (various), Python, Ruby, shell scriptingIndustries: healthcare, e-commerce, SaaS, consumer packaged goods, mobile applications, education, media, journalism, online advertising, and consulting.
Experience
Senior Data Engineer
Aug 2022 — Present · Boston, MA, US
Full-stack data engineering from loading raw data from 10+ internal and external sources, integrating and transforming data via SQL and dbt, loading data into reporting/dashboarding platforms, and working with stakeholders to query/report/analyze data- Data sources includes EHR/EMR, surveys/questionnaires, marketing/engagement, email, chat, Zoom, phone, claims, CRM, and many more- Stakeholders include finance, marketing, operations, data science, clinical, growth, and executive.
Education
MIT Sloan School of Management
MS, MIS, Marketing
1986 — 1988
Boston College
BS, Marketing
1982 — 1986
Skills
- E-Commerce
- Query Optimization
- Agile Methodologies
- Icd-9-Cm
- Doubleclick for Publishers (Dfp)
- Python
- Data Mining
- Strategic Partnerships
- Cloud Computing
- Consulting
- Data Integration
- Saas
- Postgresql
- Linkedin Api
- Current Procedural Terminology (Cpt)
- Data Modeling
- Facebook Api
- Eai
- Unix Shell Scripting
- Gooddata
- Analytics
- Data Warehousing
- Mysql
- Business Intelligence
- Predictive Analytics
- Data Science
- Etl
- Twitter Api
- Start-Ups
- Icd-10-Cm
- Snomed
- Big Data
- Sql
- Ruby
- Olap
- Google Analytics
- Web Analytics
- IT Strategy
- Product Management
- Data Analysis
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