• Lead development and optimization of an integrated streaming and data lake solution for analytic use cases, focusing on building extensible applications and a flexible architecture to operate in a multi-cloud – AWS and GCP – environment• Managed development roadmap and technical implementation of application refactoring to utilize cloud native services to reduce cost of data storage and increase query execution speed• Adapted big data streaming application to use cloud native services in 2-week pilot program, handling 15B events/day• Developed solution to enhance monitoring of streaming data via InfluxDB and Grafana, setting up dashboards to create a real-time view of the system on the scale of millions of records per second• Delivered tailored demos for developers, architects, data analysts, and client engagements leaders that highlighted the lower cost, reduced operational overhead, and increased performance of the redesigned cloud analytical environment

• Designed event-based external data source streaming ingestion applications to provide continuous data by utilizing a containerization layer, eliminating manual data gathering for data analysts• Transformed daily analytics into a continuous event-driven solution by elevating batch platform to streaming platform• Built Flask REST API for submitting SQL queries to a Redis PubSub queue for execution• Transformed manual cron execution of events to orchestrated asynchronous execution using Apache Airflow to enhance extensibility and scalability of analytic workflows• Architected secure web application that takes raw data and generates templated client reports, reducing report creation time by 50%

Held office hours and graded projects 5 hours per week for Programming Languages and Computer Systems courses.

• Investigated and improved Python automated testing framework by examining adequacy of command line interface, API and endpoint tests and wrote fixture to facilitate speed of nightly testing executions• Investigated SQL queries and recorded speed of access to database using DB Browser for SQLite• Implemented debug script in the product for both Windows batch file and Linux shell script• Developed a debug report application using python, Flask, and Jinja2 to reduce investigation time for the technical support engineers