Jomari – Python, Django, AWS

A financial data and analytics platform designed to support critical decision-making for investment professionals. The project focused on modernizing content ingestion and matching workflows, migrating legacy data feeds to a unified pipeline, and improving backend services and database performance. The work also included data analysis in Jupyter and developing proof-of-concept solutions to evaluate further system improvements.

• Refactored and debugged complex codebases, enhancing readability, maintainability, and overall performance;
• Increased test coverage from 50% to 70%, reducing regressions and improving system stability;
• Spearheaded a box optimization initiative projected to generate approximately $1M annually via improved packaging decisions;
• Authored detailed documentation for one of the system’s most critical business processes;
• Resolved production issues and supported cross-functional stakeholders;
• Led development of a customer service platform centralizing order management and support workflows.

A digital marketing and analytics platform built to help automotive dealerships generate leads, improve conversions, and track sales performance. The project focused on developing scalable backend services, secure REST APIs, asynchronous workflows, and optimizing database operations and overall application performance.

• Improved API performance by approximately 80% through database optimization and pre-computation strategies;
• Architected scalable backend services using Django and FastAPI, implementing secure authentication and asynchronous processing;
• Designed RESTful APIs following best practices to ensure maintainability and extensibility;
• Mentored junior engineers, elevating code quality and engineering standards.

A financial data and analytics platform designed to support critical decision-making for investment professionals. The project focused on modernizing content ingestion and matching workflows, migrating legacy data feeds to a unified pipeline, and improving database and backend performance. It also involved data analysis and developing proof-of-concept solutions to evaluate further system improvements.

• Migrated all legacy feeds to a new content pipeline, improving match accuracy and reliability by 60%;
• Optimized complex legacy feed queries, reducing database load and improving system efficiency by 80%;
• Developed data analyses in Jupyter to generate actionable insights for data-driven decision-making;
• Partnered with Talent Acquisition to recruit high-performing software engineers;
• Improved backend performance by 20% and delivered a proof of concept to guide further optimization efforts.

A blockchain-based financial platform focused on digital asset management and automated cryptocurrency trading. The project involved developing REST APIs, building AWS-based background services, supporting automated trading workflows, and improving infrastructure and deployment processes. The role also included contributing to agile delivery and team coordination as a Scrum Master.

• Developed background services leveraging AWS to deliver scalable and reliable solutions;
• Developed infrastructure automation to streamline deployment and environment management;
• Contributed to the development of a trading bot application, optimizing performance and system stability;
• Designed and implemented RESTful APIs using Flask to enhance application functionality;
• Led migration of configuration from repositories to AWS Parameter Store, improving security and management;
• Served as Squad Scrum Master from May 2020 to Nov 2020, facilitating agile delivery and team productivity.

A competitive pricing intelligence platform designed to help retailers monitor competitor prices and promotions and make data-driven pricing decisions. The project focused on building and optimizing data pipelines, improving product-matching workflows, maintaining reliable scraping infrastructure, modernizing legacy systems, and integrating with external APIs. The role also included supporting system reliability and agile delivery.

• Architected and optimized Scrapy-based data pipelines, improving pricing data matching speed by 90%;
• Enhanced reliability of data and scraping infrastructure, reducing operational defects and downtime;
• Led technology modernization and Shopify API integration to expand platform functionality;
• Served as Scrum Master and SRE, improving engineering processes and system stability;
• Led hiring and mentorship initiatives, strengthening junior engineering talent.