# Martin Richard

> Data Engineer at REsurety

Location: Greater Boston, United States
Profile: https://flows.cv/martinrichard

Data engineer with bachelors in physics and comprehensive research experience. Interested in building robust data pipelines, working with complex data schemas and working directly with users to perfect systems. Experience across multiple industries including renewable energy, financial services, healthcare claims, and edtech.

Skills:
Programming Languages: Python, SAS, R, C#
Tools: Databricks, Spark, AWS, S3, Tableau, Azure ADLS, Linux, Git, SVN
Database: Snowflake, PostgreSQL, SQL Server, Oracle SQL
Project Management: JIRA, Azure DevOps

## Work Experience
### Software Engineer II, Data @ REsurety, Inc.
Jan 2024 – Present | Boston, Massachusetts, United States

### Data Engineer @ REsurety, Inc.
Jan 2022 – Jan 2024 | Boston, Massachusetts, United States
REsurety is the leading analytics company empowering the clean energy economy. Operating at the intersection of weather, power markets, and financial modeling, we enable the industry’s decision makers to thrive through best-in-class value and risk intelligence, and the tools to act on it.  

With the world’s leading clean energy investors, advisors, buyers, and developers as clients and 7,000 MW of transactions closed, REsurety empowers clients to thrive in the dynamic, complex, clean energy-fueled future.

### Software Engineer @ Composable Analytics, Inc.
Jan 2021 – Jan 2021 | Cambridge, Massachusetts, United States
Configuring new features for Composable's DataOps platform and implementing the software for clients.

### Data Engineering Fellow @ Insight Data Science
Jan 2019 – Jan 2019 | Greater Boston Area
• Fellowship program to learn the fundamentals of data engineering through a self-designed project using AWS architecture
• Built MigrationPlus, a distributed pipeline to join location/timestamp sensor data from animal migration studies with current weather conditions, allowing researchers to enrich their data collection
• Accessed data files in S3, processed 40GB of historical weather data with Spark and stored in PostgreSQL with PostGIS indexing to join the datasets

### Product Implementation Engineer @ BAE Systems Applied Intelligence
Jan 2018 – Jan 2019 | Greater Boston Area
• Improved functionality on a healthcare fraud detection solution with realtime and post-pay detections and analytics
• Programmed ETL from XML and flat data files, queried data, generated reports using SAS and SQL
• Added automated processing and audit logging for fraud investigation cases from 3 organizations to an application to match existing front-end processes resulting in a comprehensive case tracking system
• Saved $1 million per month in denied prepay claims by implementing a detection determining an overlap in coverage
• Communicated directly with the client to determine focus areas and deliver a solution that meets their needs

### Technical Analyst @ BAE Systems Applied Intelligence
Jan 2016 – Jan 2018 | Greater Boston Area

### Big Data Intern @ Houghton Mifflin Harcourt
Jan 2015 – Jan 2015 | Boston, MA
Used R to develop predictive models of student performance in EdTech software. Also predicted student retention over time using a support vector machine. Results and other ad hoc analyses were presented in an interactive shiny dashboard. I provided a report on Microsoft Azure Machine Learning and its potential use for future analysis in the company.

### Program Counselor @ Boy Scouts of America
Jan 2014 – Jan 2014 | Philmont Scout Ranch, Cimarron, NM
Lead scout treks in low ropes COPE (Challenging Outdoor Personal Experience) course to develop teamwork and communication skills. Organized and performed in a campfire program that included stories and music (playing upright bass).

### Research Assistant @ Haverford College
Jan 2012 – Jan 2014
• Developed a simulation of the Transverse Ising Model, a quantum mechanical model of magnetism based on neighbor interactions, using matrix operators in Python to determine a benchmark for results to compare with the model when simulated on a quantum computer and presented work as a senior thesis
• Extended simulation to 22 qubits (matrix size of 4 million rows/columns) using sparse matrices to reduce memory space
• Demonstrated connection between transverse Ising model (magnetic particle spins) and a model of a quantum computer through similarities of nearest neighbor interactions
• Summer 2012 work resulted in a published paper. Research funded through HHMI Interdisciplinary Scholars stipend.

### Research Assistant @ Harvard University
Jan 2011 – Jan 2011 | Cambridge, MA
Analyzed the sulfur, iron, oxygen isotope content in rock samples to determine Cambrian era ocean environment in David Johnston's lab, Harvard's Earth and Planetary Science department. Funded through Haverford College Koshland Integrated Natural Science Center (KINSC) Summer Stipend.


## Education
### Bachelor of Science (B.S.) in Cum Laude, Physics
Haverford College


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

---
Source: https://flows.cv/martinrichard
JSON Resume: https://flows.cv/martinrichard/resume.json
Last updated: 2026-03-31