Evgeniya Engel

Recruited to collaborate with a team of Analysts and Engineers driving the development of Smart Buildings technology and Monarch Energy Analytics system at Google, with occasional collaborations across other accounts.

• Leading multi-team efforts in onboarding new Google campuses into the ETL pipeline and Analytics system.
• Engineering Python tools, enhancing efficiency and coherence throughout the Onboarding process.
• Created a suite of Analytics tools, assessing data quality and availability across nearly 200 Bay Area buildings.
• Built data pipelines and architected data warehousing solutions for IoT projects, utilizing Azure, Microsoft SQL Server, and PostgreSQL.
• Streamlined Energy Analytics data pipeline from disjointed SQL scripts to a robust cascading ETL workflow using Google Plx stack.
• Designed and implemented Alerting solutions for critical data pipelines , ensuring timely response to potential issues.
• Provided analytical support in resolving overwhelming mechanical equipment alarms by conducting a thorough analysis of historical alarm data, and identifying key sources and patterns.
• Engaging in pilot initiatives that leverage Machine Learning techniques.
• Conducted an analysis of historical Energy Load Segmentation time series, uncovering patterns driving peak loads and providing actionable insights for load reduction opportunities.

• Applied traditional Machine Learning algorithms for predictive modeling and inference purposes.
• Created interactive data visualization dashboards and web applications to convey data insights effectively.
• Constructed ETL pipelines by employing web scrapers to extract data from web pages into a local database.