Jj Gangi
About Jj Gangi
Jj Gangi is a Staff Software Engineer with extensive experience in software development and engineering leadership, currently working at Sunrun. He has held key positions at several companies, including Rocket Companies, Zynga, and Comcast, and specializes in streaming IoT big data solutions for solar customers.
Current Role at Sunrun
Jj Gangi currently serves as a Staff Software Engineer at Sunrun, a leading provider of residential solar energy solutions. He has been in this position since 2022, working from Philadelphia, Pennsylvania. In this role, he specializes in developing streaming IoT big data solutions tailored for solar customers. His expertise contributes to Sunrun's mission of making solar energy accessible and efficient.
Previous Experience at Rocket Companies
Before joining Sunrun, Jj Gangi worked at Rocket Companies as a Staff Software Engineer. His tenure lasted for 9 months in 2021 to 2022, during which he was based in San Francisco, California. At Rocket Companies, he contributed to software engineering projects, leveraging his extensive experience in the tech industry.
Career Background in Software Engineering
Jj Gangi has a robust background in software engineering, having held various positions at notable companies. He worked as a Principal Software Engineer at Zynga from 2018 to 2019 and at Modal from 2019 to 2021. He also served as a Principal Software Engineer at Omnicom from 2016 to 2018. His career includes significant roles at Comcast as a Senior Software Engineer from 2013 to 2015, showcasing his progression and expertise in the field.
Education and Certifications
Jj Gangi holds a Bachelor's degree from The Johns Hopkins University and a Graduate certificate from the University of California, Santa Cruz. He also attended The Hill School. His educational background provides a strong foundation for his technical skills and professional achievements in software engineering.
Technical Skills and Specializations
Jj Gangi possesses specialized skills in Big Data, Machine Learning, ETL, and backend/API development. He has expertise in a variety of technologies, including Python, DevOps, AWS, Terraform, Java, Rails, and JavaScript. Notably, he created Forklift, a big data framework utilized by several Fortune 500 companies, demonstrating his capability in developing impactful engineering solutions.