Daniel Walt Email & Phone Number

New York, United States

New York, United States

Architect, Lead Engineer, Maintainer - Launched the Customer Ads Data Program, whereby Haus ingests and normalizes advertising data directly from Google, Meta, Snapchat, and TikTok on behalf of our Customers.--- - Launched all components of the program within 2 quarters of the start of the project; Feature has been opted-in by 90% of Haus’s Customers, and represents 80% of the total data ingested/processed by Haus - Designed the normalization data schema and accompanying pipeline. This pipeline creates the cross-platform (XP) model of the supported ads platforms, allowing for a single view of ad data regardless of platform. (BigQuery, Composer, Fivetran, Cloud Functions) - Designed and implemented Haus’s core distributed lock pattern, sitting on top of Google Cloud Storage pre-condition primitives. Open source version viewable at https://github.com/waltage/grpc-lock. (Golang, Python, GCP) - Designed and implemented Haus’s first microservice ‘Autotalli’ which serves as an abstraction layer to the program for Data Science to query throughout experiment lifecycles (in order to generate metrics like ROI).Architect and Squad Engineer- Customer Data Onboarding program - launched the ‘Wharf’ family ofmicroservices. These provide stateful on-boarding functionality to Data Engineers as they on-board first-party data sources with our Customers, as well as providing an internal API to the Haus App that allows Customers to on-board themselves visually through the Application directly.--- - Created and Managed the Technical Design Documents and various ADR processes required to reach consensus on architecturaldecisions as well as in-scope/out-of-scope features. - Designed and Implemented all CI/CD for this program - components include a shared python library, 5 independent flask apps, andself-contained infrastructure-as-code using Terraform; all CI/CD implemented within Github Actions (company standards).

Los Gatos, Ca, Us

Tech Lead - Consumer Research Program (60MM user surveys per year, 55MM behavioral data integrations per year)---- - Data Owner for this dataset within the Big Data Platform (Spark, Presto). - Optimized the internal Decipher libraries & ingestion pipelines to reduce load times from 2 days to 15 minutes (Go, Java, Spark). - Maintained these libraries for 3 additional cross-functional data engineering teams (Finance, Data Science, Customer Support).Architect and Engineer - “Spinks” - a front-end tool used by 30+ UX researchers to collect large volumes of on-platform-personalized box-art in formats designed exclusively for quantitative and qualitative research (Python).Cross-functional Engineering Lead - design and launch of the on-platform intercept survey features.

Mountain View, Ca, Us

Architect and Engineer - “Vahana” - an external data extraction product for third-party measurement platforms--- - Researched a privacy-safe and financially-compliant homomorphic encryption scheme that allowed advertisers and partners to incorporate daily and geographically-fine-grained Google query volume data streams in their own media measurement models (Python, internal version of Dataflow & Dremel). - Designed and implemented backend and frontend tools that processed more than 1 Quadrillion queries during the product’s 2-year lifecycle; The product was used by 40+ advertisers that accounted for $1BN in quarterly revenue (Python, Angular). - Migrated the functionality to a different team’s product, and managed the deprecation of the original frontend, prior to leaving Google (Java).Solutions Engineer and Consultant - Responsible for data engineering-related consultations, and Google Cloud solutions deployments, with 200+ of Google’s largest brand advertisers and third-party measurement partners.

Mountain View, Ca, Us

Leuven, Be

People Manager - Marketing Strategy Team (4), the Media Strategy Team (3), and the Global Management Trainee Teams (20+) during their marketing rotations.Planning & Performance Management - Responsible for 3YP, 1YP, Quarterly, and Monthly PPM processes across several teams, the largest being the US marketing organization (team of 400+, budget of $700MM+ per year).

Leuven, Be

Leuven, Be

Chicago, Il, Us

Tech Lead - Managed R&D projects for hardware and software-related latency issues across multiple products.--- - SSD vs. HDD datacenter configurations (on-premise) - Realtime vs. Batch & In-database vs. Pre-computed statistical model scoring - Performance and accuracy benchmarking of SAS ‘proc-mixed’ vs. R ‘lme4’SRE - as 50% on-call, led the off-shore Analytic Delivery team for the ‘Liquid Modeling‘ and ‘Performance Drivers’ products

New York, Ny, Us

Master Of Science - Ms, Computer Science

Master Of Business Administration - Mba, Marketing & Finance

Bachelor Of Arts - Ba, Recording Industry Studies