Michael W.
About Michael W.
Michael W. is a Staff Data Engineer at EnergyHub in the San Diego Metropolitan Area, with extensive experience in data engineering and a background in bioengineering and economics.
Current Role at EnergyHub
Michael W. is currently serving as a Staff Data Engineer at EnergyHub in the San Diego Metropolitan Area. In this role, he utilizes his expertise to develop sophisticated data engineering solutions. His work involves creating self-organizing data governance systems that integrate seamlessly with HCM solutions, as well as developing ETL abstractions to support various data engineering workflows.
Previous Experience at EnergyHub
Before his current position, Michael worked at EnergyHub as Data Engineering Manager for one year, from 2023 to 2024. During his tenure, he was responsible for leading data engineering projects and managing the team. His contributions included designing declarative RBAC policies for effective access control and overseeing the migration and optimization of data warehouse technologies.
Work at Data Culture, Warby Parker, and Other Firms
Michael has held several significant roles in his career, including a stint as Data Engineering Manager at Warby Parker in 2022 and as 'Absolutely Crushing It' at Data Culture from 2021 to 2022. Earlier roles include working as Senior Data Warehouse Architect for Biden for President in 2020 and as a Data Engineer for the Democratic Senatorial Campaign Committee in 2018. These positions have solidified his expertise in database performance tuning, data visualization, and data modeling techniques.
Education and Technical Skills
Michael graduated with a Bachelor of Science in Bioengineering and Economics from Binghamton University, where he studied from 2010 to 2014. His technical skills include proficiency in database technologies such as Redshift, Snowflake, Vertica, Postgres, MySQL, and Oracle. He also has experience with programming languages like Python and R, and tools such as Civis, Looker, Tableau, and Shiny.
Expertise in Data Engineering
Michael specializes in migrating data warehouse technologies, optimizing database performance, and tuning data warehouse clusters. He is familiar with advanced database concepts, including columnstore and rowstore, and technologies like S3, Spectrum, and Iceberg tables. His work often involves using functional programming and object-oriented programming principles to enhance data engineering processes. Additionally, Michael focuses on decentralized access control and agile methodologies for project management.