• Designed and managed a scalable ETL/ELT architecture on Databricks to handle real-time, high-volume mission data, resulting in the seamless integration of 5 million records daily.• Created medallion schemas in Databricks, enabling flexible adjustments from stakeholder feedback, eliminating backfilling, and improving data governance and pipeline efficiency.• Harnessed dbt to orchestrate intricate SQL transformations, ensuring the seamless, organized, and versioned generation of 90+ customer-facing delta tables.• Pioneered Databricks DevOps automation in GitLab CI/CD using dbx, achieving 80% faster deployment cycles.• Authored efficient, cost-effective databricks cluster policies to allow the processing and storing of all necessary data, cutting down monthly DBU’s by 50%.• Launched a suite of real-time dashboards that visualized operational performance and error reporting, directly impacting 100+ user workflows; this innovation resulted in an increase in task completion rates across teams.• Implemented a new data reporting framework that simplified the presentation of insights for 5 departments; resulted in a 25% reduction in meeting time required to discuss data findings and implications.• Spearheaded collaborative initiatives between data scientists, analysts, and engineers, resulting in the successful integration of new data solutions that reduced analysis time by 5 hours per week.

• Designed and developed parallelized Tornado clients to ingest and transform 200k+ records daily saving 30 minutes of manual work daily and enabling continuous real-time operations.• Managed PostgreSQL on AWS EC2, scaling databases to handle 3+ TB of data while maintaining high availability and security.• Created Tableau dashboards for customer real-time situational awareness, including operational performance, anomaly detection and error reporting, reducing manual reporting time by 80%.• Streamlined Linux environment management on AWS EC2, improving system uptime by 15%.

- Assisted students with CS lab related work, such as programming and terminal commands- Aided with programming problems such as errors, bugs, and logical errors- Kept track of computer lab equipment- Provided upkeep of Computer Science lab

• Converted Kinetic Missile Debris Simulation software into a Hadoop application, reducing runtime by 90%.

- Provide service based on client request and problem resolution.- Primarily provides campus support to end users on a variety of issues such as technical support ticket requests and responding to trouble calls and email.- Identifies, researches, and resolves technical hardware, software, and network problems in a timely manner.- Follow helpdesk and desktop support practices to ensure timely problem resolution by documenting with follow ups and return calls to technical requests.

- Provided support for the faculty, staff and students in the use of CCL (college computing labs) hardware and software - Installed computer equipment and programs- Maintained a library of software and computer publications- Monitored and proctored Test Center usage- Maintained CCL classrooms