Evan J. Email & Phone Number

San Francisco, Ca, Us

I lead a team of Analytics Engineers and set the vision for what scalable data products will drive the most impact for our product and engineering teams. We specialize in arguing over dim/fct/agg table naming conventions, trailing vs leading commas in SQL, and spend our time being evangelists for DBT and AirFlow across the org.

Menlo Park, Ca, Us

I lead a team of 9 Data Engineers who build data pipelines and products for all Watch (facebook.com/watch) and Live (facebook.com/live) videos. My team and I are responsible for designing, implementing, and scaling end-to-end data solutions to support the overall Facebook video product strategy. We have a passion for good documentation, virtual board game days, and building data products at Facebook scale.

Mountain View, Ca, Us

I partner with Google Cloud product teams and set the vision for our internal and customer-facing Data Engineering technical content.- Establish metrics, KPIs, and data pipelines to track over 1 Million learners- Engineer and create data warehouse applications to support BI and analysis on our entire 100+ asset portfolio- Evangelize our data-driven culture to partner orgs and teams that depend on our data- Mentor developers on data engineering best practices and bug resolution

Mountain View, Ca, Us

Establish and execute best practices for data engineering internally for Cloud Training and externally for our asset portfolio- Awarded a defensive publication for co-creating an unstructured data pipeline for the automatic language translation and text-to-voice synthesis of training content.- Created a comprehensive data warehouse and reporting for internal asset release tracking - Led data engineering spotlight presentations: https://www.youtube.com/watch?v=k2YQKrc3Hho&feature=youtu.be&t=1361

Mountain View, Ca, Us

Internal data analytics consultant for Google Finance: - Created an end-to-end machine learning pipeline to capture and forecast accounting accrual estimates for purchase orders. Educated stakeholders on benefits and limits of machine learning and the importance of continual re-training via the new production data pipeline. - Led cross-functional initiative to scope and build the data warehouse for Capital Expenditures (CapEx). Enabled stakeholders to review and report on quarterly investment themes in corporate real estate, data centers, fiber lines and more.

Worldwide, Oo

Led multiple data analytics client-facing projects in the Public SectorFinancial Risk Analysis for Large Government Agency- Overhauled MS Access based reporting suite and data pipelines for $X Billion asset portfolio for a large federal agency. Created SQL error reporting and transaction exception logs to flag anomalous activity which greatly reduced monitoring time. Seized Asset Data Social Impact Analysis for Large Government Agency- Collected and cleansed asset seizure data from multiple disparate data sources into a central data warehouse for time-series reporting. Created and launched Tableau Server pipelines and visualizations and on-boarded client teams.Geographic Optimization Modeling for Large Commercial Telecom Provider- Led a commercial geospatial analysis in ArcGIS and SQL GIS to identify and rank the best locations to place cell phone booster towers based on predefined characteristics and weighted metrics. Merged multiple public geographic datasets (fiber line routes, streets, utility locations) to input into an analytical geospatial model that prioritized and ranked the best locations for cell network expansion.

- Data lead responsible for creating streaming IoT data logging software for remote power stations that captures weather, solar panel and wind turbine throughput, and battery bank levels. Created thresholds and error reporting alerts - Awarded patent for new light-weight folding 500 Watt solar panel design