# Erik S.

> Software Engineering @ DEPT®

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/eriks

As a senior data analyst at DEPT®, I work on an internal project for Google, developing Java, ORM, Spanner, API and microservices solutions for data processing and management. With over eight years of experience, I have the skills and knowledge to handle complex and large-scale data challenges and deliver actionable insights and recommendations.

Before joining DEPT®, I worked as a data and analytics consultant at Redwood Analytics, where I provided cost-effective, scalable, and efficient solutions for companies in various industries, especially in natural resource management and environmental issues. I leveraged my master's degree in forest sciences and my expertise in GIS, statistical modeling, and SQL to create dashboards, ETL pipelines, and data strategies that helped clients optimize their operations and decision-making. I also won the first place in the ELO Data Science Hack-a-thon in 2016, where I developed a model and an application concept for predicting and supporting entrepreneurs. I am passionate about making data useful and solving real-world problems with data and analytics.

## Work Experience
### Principal Software Engineer @ DEPT®
Jan 2025 – Present

### Senior Data Analyst @ DEPT®
Jan 2022 – Present | Bay Area, California
Java, ORM, Spanner, API and microservices development for an internal project @ Google.

### Senior Data Analyst @ Raybeam, Inc.
Jan 2016 – Jan 2023 | Mountain View, California
Work onsite with clients to help turn data into meaningful, actionable information. SQL and development for processing big data, dashboards, ETL pipelines, and general data strategy.

### Data and Analytics Consultant @ Redwood Analytics
Jan 2019 – Jan 2022
Provide cost effective, scalable and efficient solutions for companies looking to get the most out of their data and infrastructure.

### Research Assistant @ Humboldt State University Sponsored Programs Foundation / Ca. Dept Fish and Wildlife
Jan 2010 – Jan 2012 | Arcata, California
Supervised learning to predict unknown classes for multi-year survey data within a spatially explicit, routed hydrology network. 
Analysis of data utilizing, R, and MS Access for reporting. 
ArcGIS mapping and analysis of multi-year anadramous fisheries survey data in N. California watersheds. Development of models using ArcGIS model builder.
Fieldwork for collection of repeated observations data related to salmon breeding habitats in N. California watersheds.


## Education
### Master’s Degree in Forest Sciences
University of Helsinki

### BS in Natural Resources Planning & Interpretation with Emphasis in GIS and Remote Sensing
Humboldt State University


## Contact & Social
- LinkedIn: https://linkedin.com/in/erik-stewart87

---
Source: https://flows.cv/eriks
JSON Resume: https://flows.cv/eriks/resume.json
Last updated: 2026-04-12