Much of my experience to date has been maintaining and improving large legacy systems. Over the years I've developed a solid framework for tracking down key code components through data flows, function calls, and understanding historical naming and/or design conventions.

Having spent most of my career working in cross-functional teams, I've honed my ability to communicate with stakeholders of varying technical expertise. I understand that different audiences require different types and levels of details, and shift my communication accordingly.

I also develop internal tooling, including a fullstack Emerging Market macroeconomic data release calendar application, internal libraries, and command line utilities. I've also built tools to help display and manage job scheduling and load balancing for recurring visualization packets, pipelines, and dashboards.

Finally, I have experience in building data pipelines through the whole stage, from vendor negotiations and data ingestion through generating bronze, silver, and gold tables for use production processes. In doing so, I've implemented improvements to my section's seasonal adjustment pipelines through extensive research into X-13. I've worked with large (> 100 TB scale) data, and in the process have learned how to effectively leverage high-performance distributed computing environments like Spark.