Alex Abraham

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Engineering Manager and former Senior Software Engineer with 18+ months leading a 10-person team building enterprise software for physical trading card production at Fanatics Collectibles. Proven people leader with a track record of scaling teams, onboarding rapidly, and driving cross-functional alignment across Product, Design, and Engineering. Strong technical foundation with hands-on architecture and code review ownership. Forward-thinking about applied AI — actively identifying practical, high-leverage opportunities to deliver measurable business impact.

2019 - 2023

Georgia Tech, Online Masters in Computer Science

• Master of Science – 2023
• Major: Computer Science
• Specialization: Computing Systems

2012 - 2016

Yeshiva University, Yeshiva College, New York, NY

• Bachelor of Arts – May 2016
• Major: Computer Science
• Data Structures, Algorithms, Computer Organization and Assembly Language, Web Programming and Development, Cybersecurity, Intro to CS
• Gertrude Nissenbaum Memorial Award for Excellence in Computer Science

Additional Coursework

• Programming Mobile Applications for Android Handheld Systems – Coursera, Spring 2014
• Web Development (HTML, CSS, JavaScript, PHP, MySQL) – Udemy, Spring 2014
• iOS Development (Swift) – Udemy, Fall 2014
• AMT – Intro to Finance

June 2025 - Present

Engineering Manager – Card Innovation

Fanatics Collectibles - New York, NY

• Manage Card Innovation engineering (10 direct reports across FTEs and contractors) and own Product Builder for trading card product configuration
• Scaled team and operating cadence (planning, design reviews, releases, incident response) to improve predictability and quality
• Drive upstream data quality to reduce subject list rework and proof review cycles, supporting on-time, high-quality card production

June 2023 - June 2025

Senior Software Engineer – Card Innovation

Fanatics Collectibles - New York, NY

• Led architecture and delivery of Product Builder, an internal platform for configuring physical trading card products
• Built connected data model and validation for SKU types, guarantees, sets/subsets, parallels, and subjects to prevent downstream proofing errors
• Integrated exports with downstream ops/manufacturing systems; partnered with Brand, QC, and Manufacturing to translate product rules into scalable software
• Built data pipelines to ingest player data across multiple licenses (MLB, NBA, NFL) to support subject list creation

August 2022 - Present

Sr. Data Engineer - DataOps

Vimeo - New York, NY

• Developed an entity-based data modeling framework for product analysis
• Designed entities to improve data governance and discoverability
• Worked with product and analytics teams to ensure entities were comprehensive and well-defined
• Ensured that entity schemas were enforced cross-product
• Updated our underlying infrastructure to support the new framework
• Spearheaded efforts to increase data pipeline monitoring and meet SLAs

February 2021 - August 2022

Data Engineer II - DataOps

Vimeo - New York, NY

• Worked with product leaders across the company on event pipeline creation
• Used insights from working with product teams to improve our underlying data infrastructure
• Created an API for managing internal data pipeline configurations
• Built ETL pipelines using DBT and Airflow that are easy to maintain and adhere to company standards

June 2019 - February 2021

Data Engineer - Data Platform

Vimeo - New York, NY

• Developed infrastructure for data ingestion pipelines across all Vimeo product offerings
• Enhanced our in-house Kafka message validation service
• Created a Kafka stream processing framework which included filtering, transforming, and routing messages to multiple destinations
• Designed a web application for users to view and manage data schemas
• Built ETL pipelines for parsing CDN logs

July 2017 - June 2019

Data Engineer

AllianceBernstein LP - New York, NY

• Lead data engineer working on building out multiple data pipelines for analyzing unstructured data
• Corporate Filings
• Pipeline to retrieve and process corporate filings from SEC Edgar Database
• Used Scrapy (a Python based web scraping framework) to systematically retrieve documents
• Designed and developed process to convert HTML documents to plaintext and extract individual sections
• Earnings Transcripts
• Built web crawler using Selenium to scrape earnings transcripts from the internet on a daily basis
• Developed a web-based dashboard to quickly search through transcripts for specific key words
• Searches for a company across time as well as a list of companies over a specific quarter
• Consumer Reviews for Cell Phones and Cars
• Scraped reviews from various websites
• Designed database schema to integrate reviews from different sources seamlessly
• Built front-end Angular dashboard allowing users to compare reviews across different products and websites
• Contains interactive charts with review statistics
• Short Sellers
• Performed analysis on short-seller investment firms to identify companies which misrepresent portfolio performance
• Built web scrapers to extract data from social media and news outlets
• Created process to identify historical short targets
• Compared list of short targets with short seller claims
• Established team infrastructure in Microsoft Azure for large-scale data analysis
• Created Windows and Linux virtual machines to accommodate different workflows
• Utilized IaaS and self-hosted solutions for SQL and NoSQL databases
• Managed DataBricks cluster-computing environment

July 2016 - July 2017

Software Developer

AllianceBernstein LP - New York, NY

• Created a new dataset for use in bond analysis
• Built web scraper to retrieve commodities data from the internet
• Integrated web scraping process into the data retrieval pipeline already built by the team
• Enabled models to account for commodities data previously not available
• Created a new dataset for use in bond analysis
• Reduced load time from 8 hours to 30 minutes
• Integrated vendor calculator to analyze Credit Risk Transfers into cluster environment
• Calculator utilized data combined from multiple sources
• Cluster environment allowed for analysis of multiple CRTs simultaneously
• Involved in redesigning process to calculate internal bond rating using data from multiple vendors
• Built pipeline to merge bond rating data using Markit EDM
• Created internal bond rating using a set of business rules designed by the research team
• Created processes to migrate account data across internal systems
• Synchronized internal account database with software to invest in derivatives
• Replaced manual account verification process and improved efficiency of business operations

August 2013 - January 2015

Software Developer and IT Technician (Part-Time)

NutriLab LLC - Hackensack, NJ

• Developed an algorithm that interprets questionnaire responses to assess nutrient deficiencies and generate a nutritional supplement recommendation; algorithm dramatically increased the productivity of the nutrition staff
• Managed equipment provided by the company for employees, performed routine checks, researched and suggested new equipment to purchase
• Provided technical support to employees who need help with using company equipment such as computers, printers, network storage, and cell phones

June 2014 - August 2014

Software Development Intern

Hungry Inc. - Brooklyn, NY

• Tasked with developing three products used to aid development and experiment with new technologies for start-up focused on website and mobile application development
• Developed Scaffold, a web platform which builds a quick rudimentary API designed to speed up front-end development
• Scaffold back-end uses Laravel and front-end uses AngularJS
• User can specify request headers, response headers, endpoints, and sample data
• Generates active sample API link which returns JSON data that front-end developers can use for testing
• Developed applications for Mac and Android using the openFrameworks SDK
• HungryCircles – Grabs pixel color from camera and draws circles with random radii and z index
• AirDraw – User selects a unique color from the camera and AirDraw tracks the color on the screen

June 2011 - August 2011

Tech Support (End User Support)

IDT Corporation - Newark, NJ

• Provided tier one support
• Answered phone calls
• Helped IDT employees with any issues related to technology given to them by the company
• Repaired corporate blackberries and computers
• Reimaged computers using Altiris
• Unlocked domain accounts (Windows)