Sam Mccaffrey Email & Phone Number

Phoenix, Az, Us

Remote First, Us

- Revamped user facing analytics; created analytical infrastructure on top of transactional store.- Owned product analytics lifecycle (logging, ingestion, ETL, tooling, dashboards)- Built initial big data infrastructure (data warehouse, orchestration, dashboards)- Helped integrate the GTM/CS/Marketing toolset (Rudderstack, CustomerIO, PostHog, Intercom, Knock, etc.) into the app stack.- Other full stack duties: UX/UI improvements, backend optimizations, database management

Building a full lifecycle data platform. Join the waitlist for updates!

New York, New York, Us

- Built and owned large portions of the data infrastructure (data warehouse, pipelines, APIs, dashboards, observability, alerting)- Built foundational microservice APIs to enable DE/DSs to have agency in product engineering (FastAPI)- Built a custom data governance framework for tracking sensitive PII across all the production systems; Added user facing features so non-technical teams could consume the data- Built end-to-end infrastructure for a customer facing analytical dashboard (FE: React + Tailwind, BE: next.js + graphql)

Mountain View, Wy, Us

0-1 Engineering:- Created backend databases to support the MVP app (postgres)- Backend APIs for supporting a search engine product (python flask)- Custom data ingestion platform to gather all the search engine data- Kubernetes for running all the services- Proxying databases so services could query- DNS and networking for making endpoints available where needed

Menlo Park, Ca, Us

- Developed and implemented Reels crosspost logging system across Meta's family of apps, enhancing data tracking efficiency.- Collaborated on feature development for internal data systems, including dataswarm and task management, improving data processing workflows.- Contributed to building processes for WhatsApp data governance, ensuring data integrity and compliance within the platform.

Scottsdale, Az, Us

- Lead data engineer for the full life cycle of data- Helped grow the data team from one the several members. Conducted tech interviews and onboarding.- Helped onboard over 50 non-technical employees to the company's data- Contributed to user facing dashboard. Feature additions, bug fixing, etc. (FE: Vue.js, BE: Java + Spring Boot)- Assisted with several M&A deals from data perspective- Key member of the accounting team. Built revenue management and quality control systems.

Scottsdale, Az, Us

- Operated as the sole data engineer for company from 30 to 80 employees- Created foundational data engineering systems and processes- Stood up Apache Airflow as the company's first formal data pipelining tool- Fully owned and maintained customer facing analytical data models that served thousands of users- Fully owned the respective architecture (databases, data warehouses, microservices)

Chicago, Illinois, Us

Tableau, dashboarding, MSSQL, SSMS, ToadDataPoint, Oracle, MySQL, OLAP, OLTP, mongodb, data warehousing, data cleansing, risk modeling, data mining, automation architecture, data pipelining, event driven notifications, code maintenance, git, GitLab, bashPython, pandas, flask, sklearn, numpy, selenium, bs4, scrapy, statsmodels, pymongo, pyodbc

Phoenix, Az, Us

Used Python (numpy, pandas, sklearn, xgboost, statsmodel, seaborn, flask) to create predictive models for forecasted sales, sales velocity, and expected product lifespan. Visualized and packaged all results into easy-to-read portable dashboards in Tableau, and used final models to simulate data several years into the future.Provided API architecture recommendations for deploying, using, and continually training models.

Scottsdale, Az, Us

As a Data Quality Engineer I was responsible for assuring data processed through the platform is of the highest quality. Principles embodied include but aren't limited to data governance, referential integrity, domain precision, accuracy, consistency, and completeness.Duties included but aren't limited to integrating data, duplicate/anomaly detection, pipeline engineering, dashboard validation, and automation. These processes were achieved using a variety of software, a whole lot of Python and teamwork.

Tempe, Az, Us

Laboratory Assistant/Analyst/EngineerPhysics Instructional Resource Team (PIRT) at ASUI was a member of the PIRT team at ASU. I worked closely with department managers, instructors and professors.Successes included designing, building, and implementing an automation framework for the BlackBoard LMS system (LMSA, Python, Flask, Selenium, Excel), performing weekly, monthly, and yearly analysis on grades, and consistently working to not only improve team efficiency but to also increase the quality of undergraduate physics labs delivered to the students.Learning Management Systems Assistant (LMSA) is a homegrown automation framework wrapped around the Selenium WebDriver. The code base is written in Python (Selenium, BeautifulSoup, Pandas) and allows us to, within minutes, create ad-hoc automation scripts for editing thousands of assignments at once; a task which use to take weeks to complete manually, now takes less than an hour with the framework.

Santa Ana, Ca, Us

Associate Business AnalystFirst American Mortgage Solutions (FAMS)I was a member of the analytics team for FAMS in Tempe, AZ. I worked closely with operation managers, division vice presidents, and company stakeholders. Successes included being a part of the team that oversaw the migration to a new SaaS platform for providing mortgage QC/QA services, reviewing and revamping the team’s Tableau reporting workflow (SSRS, SQL, Excel, Tableau), and developing QuickBase applications (HTML5, CSS3, JavaScript, jQuery, AJAX, XML) to provided internal employee performance analytics to management.

Master Of Science (M.S.), Business Analytics

Bachelor Of Science (B.S.), Physics

Education record