Open to opportunities

Richard Downing

@richarddowning1

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Senior software engineer specializing in scalable Python/Java data-intensive platforms.

United States

Message

What I'm looking for

I’m looking for a Senior role where I can build scalable Python/Java backend systems, REST APIs, and reliable data pipelines—optimizing performance, strengthening architecture, and mentoring engineers to ship stable production software.

I’m a Senior Software Engineer with 14+ years of experience building scalable full-stack applications in data-intensive software environments. I focus on performance, maintainable architecture, and reliable data systems.

At In-House Realty, I designed and developed a full-stack SaaS platform using Python (Django, FastAPI) and Java (Spring Boot) to centralize operational data from 8 internal services into a unified analytics and reporting system for 200+ internal users. I built REST APIs (50+ endpoints, 20K+ daily requests), implemented asynchronous pipelines with Celery and Redis for 10M+ records, and delivered production deployments across 3 environments on AWS with Docker.

I also drive data accuracy and speed—building ETL and transformation modules with Pandas and NumPy for 30+ dashboards, and adding search/indexing with Elasticsearch across 5M+ indexed records. I integrated machine learning-assisted classification using scikit-learn to support 20+ reporting workflows.

I value quality and team momentum: I’ve implemented automated testing with PyTest and JUnit (60+ backend services and API endpoints), optimized PostgreSQL query/indexing for 30+ analytics queries, and mentored 5 engineers through code reviews and architecture discussions.

Experience

Work history, roles, and key accomplishments

Current

Senior Software Engineer

Current

In-House Realty

May 2014 - Present (11 years 10 months)

Designed and developed a full-stack analytics/reporting SaaS centralizing operational data from 8 services into a unified system used by 200+ internal users. Built scalable REST APIs (50+ endpoints, 20K+ daily requests) and asynchronous pipelines (10M+ records) using Python, Java, Celery, and Redis.

Python Java Django fastAPI Spring Boot REST APIs Celery Redis PostgreSQL Elasticsearch

Business Intelligence Intern

Quicken Loans

Jan 2013 - May 2014 (1 year 4 months)

Built backend services in Python (Flask) and Java (Spring MVC) to collect operational metrics from 10 internal systems supporting analytics and reporting. Developed ETL pipelines with Pandas and designed PostgreSQL schemas for dashboards used by 30 business users.

Python Flask Spring MVC Pandas ETL PostgreSQL REST APIs JavaScript SQL Unit Testing

Software Developer

Marathon Petroleum Company

Aug 2012 - Dec 2012 (4 months)

Implemented backend functionality in Python and Flask for an internal application managing 25K operational records. Built REST endpoints, designed MySQL tables, and used SQLAlchemy ORM to support 12 application entities and core data workflows.

Python Flask REST APIs MySQL SQLAlchemy ORM Server Side Logic Workflows API Development SQL

Business Intelligence Intern

Quicken Loans

May 2012 - Aug 2012 (3 months)

Developed backend functionality in Python and Flask for an internal application storing and managing 25K operational records. Created REST endpoints and server-side logic for 10 core workflows, and designed MySQL schemas with SQLAlchemy ORM for 12 entities.