Christopher Harris Email & Phone Number

New York, Ny, Us

New York, Ny, Us

* Staff Engineer for Datadog's Revenue Engineering, Billing Platform team (2024 - )- Leading a re-architecture of Datadog's cost and usage visibility--* Founding Architect and Lead Engineer for the Cloud Cost Management product. (2020 - 2024)- Founding engineer of Datadog’s Cloud Cost Management product (launched 10/2022)- Created Big Data systems to support AWS, Azure, GCP clouds and SaaS offerings- Subject-matter expert on Cloud Cost Management and product driver for 3+ years- Architected end-to-end vision to provide most accurate cost reporting product on the market- Created bill intake syncing 1000’s of cloud datasets/hour resulting in a three-nines’ avg. success rate- Created multi-cloud Billing Pipeline to ETL 50 billion line items/day for datastore ingestion- Created automated validation to ensure the most accurate product (1/10,000th cent) on the market- Proved to AWS that Cost and Usage Reports were inaccurate for ~1-5% of all AWS accounts andprovided AWS with a validation architecture.- Engineering manager of managers with a team of 14 reports (4 direct, 10 indirect) for 1 year (transitioned back to IC)- Grew team from 1 to 14 engineers and coached/promoted 4 engineers to next manager/IC levels- Managed 10+ Datadog cross-team product/engineering projects.

San Francisco, Ca, Us

San Francisco, Ca, Us

Maintainer of the FinOps FOCUS Spec (https://focus.finops.org)

Boston, Ma, Us

Technical Lead - Drilldown Reporting- Rearchitected CloudHealth drill-down reporting for AWS and Azure product offerings- Ran PoC's with data warehouses (BigQuery, Redshift, Snowflake) and data lake technologies (Redshift Spectrum, Presto, and Athena) to determine the best approach.- Built highly-scalable pipeline for collating and converting CSV drill-down report data into parquet datasets (EMR, Spark, S3, RabbitMQ)- Introduced query design pattern for adhoc table generation with AWS Glue and Redshift Spectrum on the initial dataset query (being adopted by multiple projects now) - Project successful, as measured by: - Dataset creation/availability: up to 4x's faster - Query turnaround time: up to 18x's faster - Cost: 60% decreaseTechnical Lead - Google Cloud product- Sole engineer to bring the product to General Availability- Built customer base from 30 to 300 customers- Architected/implemented multi-cloud collection via RabbitMQ pipelines for cost/usage data from BigQuery and GCS statements- Architected/implemented hypercube for providing enterprise-grade, categorized cost visibility across BigQuery Data - Invented/utilized strategy for only pulling recently changed segments BigQuery data to optimize for customer's costs- Architected pipeline to deconstruct GCP's inferred usage / sustained / committed-use discount pricing pipeline - Able to provide accurate costs per VM (not available for GCP customers)- PoC of streaming BigQuery data fetching using GCP DataFlow- Spoke at Google Cloud's 2019 conference about the "Journey to the Cloud: On-prem --> IaaS --> PaaS"AWS Security Governance- Implemented AWS CIS security policies for monitoring customer's infrastructure- Built UI-specific features to support CRUD policy operationsData Center / VSphere- Built procurement cost calculator for tag-based or VM-based configurationsUI / UX- Built login page flow for SSO / direct customers

Boston, Ma, Us

Santa Monica, Ca, Us

- Responsible for technical platform direction.- Architected re-platform of Attend's server infrastructure & backend - Distributed/Modular SOA platform with forthcoming SSL API proxy interface- Optimized Rails/Unicorn project (Rails-API) for higher QPS throughput- Memcached for request caching- Redis/Resque (ElastiCache) for non-critical data persistence & background jobs- NGINX reverse-proxying for safe communication between LB to apps- Capistrano deployments / Monit nannying- Hosted within AWS VPC allowing secure internal communication via NAT'd address space- Integrated Salesforce with bi-directional syncing. * Database Strategy- Optimized MySQL data model & indexing performance- Vertical-scaling was introduced with a multi-tenant sharding heuristic.* Architected and built iOS and OSX check-in apps using Swift & CoreData- Offline-first syncing with local (SQLite) & remote (MySQL) databases- 1000% network performance gain from the previous version through custom batched async library- Automatic offline/online mode detection to prevent any data sync loss- Server-side enhancements to compress remote data responses

Chicago, Il, Us

Building out Groupon Goods- Lead full-stack engineer for architecture/implementation of a shopping cart system into Groupon platform for both web and mobile.- Built backend broker system that delegates how API and various other services interact/manipulate persisted carts.- Built Cart Summary and Cart Checkout i-tier (Node.js/Express) applications for shopping cart system.- Presented shopping cart system to all of Groupon during Q3 company-wide event.- Developed returns system for Groupon Goods- Redesigned Goods channel & deal pages - Developed Goods holiday catalogs for 2012 Holiday season- iOS enhancements to shopping cart system

Palo Alto, Ca, Us

Us

-Righttrips.com -built/managed Kosmix's alpha and beta sites. -SEO traffic acquisition-Display / In-text ads campaigns-Entry Points (Contextual Links Program)-Performance testing on the Kosmix site.

Us

User Interface & Experience Engineer

Monster.com acquired jobTRAK and transformed the company into MonsterTrak. MonsterTRAK focuses on entry level positions for young individuals out of college who are just starting their careers

Palo Alto, Ca, Us

Palo Alto, Ca, Us

Bachelor'S Degree, Theology

Master'S Degree, Computer Science