Jason is an exceptional engineer, blending technical prowess with a positive presence. In my tenure managing Jason across two pivotal projects, his adaptability and talent were crucial parts of project success. During our work on a HIPAA-compliant concierge medical service, he not only skillfully developed frontend interfaces for native and web applications but also, he played a significant role in constructing a custom video chat interface for both platforms. He delivered reliable, beautiful interfaces on time or ahead of schedule. Our second collaboration centered on data for a fertility company. Jason integrated both legacy and new data sources. What stood out was his ability to devise a flexible, data-source-agnostic solution, ensuring the client could easily adapt and iterate with new tools in the future. The client was floored by this above-and-beyond approach. Clients consistently appreciate Jason's commitment. His expertise spans frontend and data engineering, coupled with impressive backend skills. I always had faith that if I gave Jason a complicated task, he'd knock it out of the park. I wholeheartedly recommend Jason to anyone seeking a multifaceted engineer.

First and foremost, Jason is an excellent partner to be in the trenches with for a complex, 0-1, iterative and evolving technical project. I really like Jason on both a personal and professional level and would jump at the chance to work with him in the future. Tools where Jason is an expert: Segment, Snowflake, DBT, Heroku, BigQuery, nodejs/express, Google Cloud Platform, Looker, Mixpanel Below I'll include some of the specifics of the nearly year long project Jason and I worked on together, but the TLDR is Jason is the data engineer, data scientist, full stack developer you want as your partner when you're building anything remotely complicated or with even a slightly moving target. It's not that he's super skilled (he is), it's not that he has great experience or strong familiarity with all the data tools out there (he does). What sets Jason apart is that he can learn anything (quickly) and that he is solution and outcome oriented. He never checks boxes that don't meet business need, checks out at EOD, or comes back to product or the business and says "not my problem." He's a problem solver and he will dig into the depths of the internet, code base, or documentation to find a solution that supports and enables the business need. Together we have effectively scoped and selected an enterprise data infrastructure stack, built a data pipeline on this stack from scratch, defined and instrumented events / signals for anything from simple ads and landing page tests through a full digital product, pushed into predictive machine learning and business visualizations and then migrated the entire thing to a new technical stack and re-pushed through to event capture / signals instrumentation, visualizations, and set up the infrastructure for machine learning a second time. Throughout this process Jason has never complained (even though a full migration like this can be really tedious - and is often done for "people" vs. technical or business reasons), he just got the job done, with excellence. He's also trained multiple resources across data pipeline development, dev ops, and even frontend when necessary and meticulously documented every step of the way.

Jason is an exceptional engineer, blending technical prowess with a positive presence. In my tenure managing Jason across two pivotal projects, his adaptability and talent were crucial parts of project success. During our work on a HIPAA-compliant concierge medical service, he not only skillfully developed frontend interfaces for native and web applications but also, he played a significant role in constructing a custom video chat interface for both platforms. He delivered reliable, beautiful interfaces on time or ahead of schedule. Our second collaboration centered on data for a fertility company. Jason integrated both legacy and new data sources. What stood out was his ability to devise a flexible, data-source-agnostic solution, ensuring the client could easily adapt and iterate with new tools in the future. The client was floored by this above-and-beyond approach. Clients consistently appreciate Jason's commitment. His expertise spans frontend and data engineering, coupled with impressive backend skills. I always had faith that if I gave Jason a complicated task, he'd knock it out of the park. I wholeheartedly recommend Jason to anyone seeking a multifaceted engineer.

First and foremost, Jason is an excellent partner to be in the trenches with for a complex, 0-1, iterative and evolving technical project. I really like Jason on both a personal and professional level and would jump at the chance to work with him in the future. Tools where Jason is an expert: Segment, Snowflake, DBT, Heroku, BigQuery, nodejs/express, Google Cloud Platform, Looker, Mixpanel Below I'll include some of the specifics of the nearly year long project Jason and I worked on together, but the TLDR is Jason is the data engineer, data scientist, full stack developer you want as your partner when you're building anything remotely complicated or with even a slightly moving target. It's not that he's super skilled (he is), it's not that he has great experience or strong familiarity with all the data tools out there (he does). What sets Jason apart is that he can learn anything (quickly) and that he is solution and outcome oriented. He never checks boxes that don't meet business need, checks out at EOD, or comes back to product or the business and says "not my problem." He's a problem solver and he will dig into the depths of the internet, code base, or documentation to find a solution that supports and enables the business need. Together we have effectively scoped and selected an enterprise data infrastructure stack, built a data pipeline on this stack from scratch, defined and instrumented events / signals for anything from simple ads and landing page tests through a full digital product, pushed into predictive machine learning and business visualizations and then migrated the entire thing to a new technical stack and re-pushed through to event capture / signals instrumentation, visualizations, and set up the infrastructure for machine learning a second time. Throughout this process Jason has never complained (even though a full migration like this can be really tedious - and is often done for "people" vs. technical or business reasons), he just got the job done, with excellence. He's also trained multiple resources across data pipeline development, dev ops, and even frontend when necessary and meticulously documented every step of the way.

Jason is an exceptional engineer, blending technical prowess with a positive presence. In my tenure managing Jason across two pivotal projects, his adaptability and talent were crucial parts of project success. During our work on a HIPAA-compliant concierge medical service, he not only skillfully developed frontend interfaces for native and web applications but also, he played a significant role in constructing a custom video chat interface for both platforms. He delivered reliable, beautiful interfaces on time or ahead of schedule. Our second collaboration centered on data for a fertility company. Jason integrated both legacy and new data sources. What stood out was his ability to devise a flexible, data-source-agnostic solution, ensuring the client could easily adapt and iterate with new tools in the future. The client was floored by this above-and-beyond approach. Clients consistently appreciate Jason's commitment. His expertise spans frontend and data engineering, coupled with impressive backend skills. I always had faith that if I gave Jason a complicated task, he'd knock it out of the park. I wholeheartedly recommend Jason to anyone seeking a multifaceted engineer.

First and foremost, Jason is an excellent partner to be in the trenches with for a complex, 0-1, iterative and evolving technical project. I really like Jason on both a personal and professional level and would jump at the chance to work with him in the future. Tools where Jason is an expert: Segment, Snowflake, DBT, Heroku, BigQuery, nodejs/express, Google Cloud Platform, Looker, Mixpanel Below I'll include some of the specifics of the nearly year long project Jason and I worked on together, but the TLDR is Jason is the data engineer, data scientist, full stack developer you want as your partner when you're building anything remotely complicated or with even a slightly moving target. It's not that he's super skilled (he is), it's not that he has great experience or strong familiarity with all the data tools out there (he does). What sets Jason apart is that he can learn anything (quickly) and that he is solution and outcome oriented. He never checks boxes that don't meet business need, checks out at EOD, or comes back to product or the business and says "not my problem." He's a problem solver and he will dig into the depths of the internet, code base, or documentation to find a solution that supports and enables the business need. Together we have effectively scoped and selected an enterprise data infrastructure stack, built a data pipeline on this stack from scratch, defined and instrumented events / signals for anything from simple ads and landing page tests through a full digital product, pushed into predictive machine learning and business visualizations and then migrated the entire thing to a new technical stack and re-pushed through to event capture / signals instrumentation, visualizations, and set up the infrastructure for machine learning a second time. Throughout this process Jason has never complained (even though a full migration like this can be really tedious - and is often done for "people" vs. technical or business reasons), he just got the job done, with excellence. He's also trained multiple resources across data pipeline development, dev ops, and even frontend when necessary and meticulously documented every step of the way.