Hello.
I'm a Data Engineer from Portland, Oregon.

I am passionate about the intersection of data privacy, technology, and policy.

About
Work
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About

a

Hi, I am Alyssa Huque.

I currently work in Nike's Data & Analytics department as a Lead Data Engineer. My team oversees the development and maintenance of data systems and pipelines focused on Nike's market competitors macroforecasting, competitor and Nike reviews, and consumer survey responses.
Prior to joining Nike, I pursued dual Bachelor of Science degrees in Mathematics & Computer Science and Political Science at the University of Oregon.
Since graduating, I have diversified my skill set through roles in supply chain analytics, financial security and and compliance, and, now, data engineering.
Outside of my professional pursuits, I spend my time reading, hiking, and swimming.

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Work

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Lead Data Engineer, Nike

March 2024 - PRESENT

  • Ingestion and analytics team for Nike consumers’ surveys and reviews data. Data informs decisions related to product design as well as digital and in store shopping experiences.
  • Responsible for twenty one data projects of which twelve I designed, developed, tested, deployed, and maintain
  • Led a high performing squad of two data engineers and one analyst
  • Managed communications and technical requirements with cross functional stakeholders and ten external vendors

Data Engineer, Nike

March 2023 - March 2024

  • Owned the data pipelines for data related to market competitors and Nike consumer experience surveys
  • Implemented automated ETL processes with Apache Airflow and Databricks Workflow
  • Collaborated with cross-function stakeholders to build aggregated objects for four data pipelines to accelerate business insights
  • Admin for Snowflake warehouse, responsible for maintaining efficient storage and optimizing performance resulting in an average annual cost savings of $55K
  • Host and moderator of biweekly Data Tech Forum

Associate Financial Compliance Engineer, Nike - Rotation III

September 2022 - March 2023

  • Worked in Corporate Information and Security to ensure IT security met financial compliance regulations
  • Developed a POC to automate the detection of security vunerabilities in databases
  • Validated and documented security automations to increase the efficiency of audits as required by the Sarbanes Oxley Act
  • Mapped atuomated security controls to owners and users for auditors

Associate Data Engineer, Nike - Rotation II

March 2022 - September 2023

  • Worked in Data Analytics to unlock data around in store shopping for Nike consumers
  • Reengineered raw data into Hive tables for downstream business insights on inventory decisions & store locations
  • Developed aggregate layer to automate quarterly & monthly reports for over 1,000 Nike stores to identify business trends

Vice President of Engineering, Ayuda Software

October 2021 - August 2022

  • Ayuda is a series A funded startup.
  • Sayin' (Ayuda's product) is a data-driven healthcare app that improves individuals' access to behavioral healthcare facilities by creating a single environment to find their clinical fit. The data gather also improves healthcare sales representatives' ability to give more tailored recommendations to patients and facilities to learn what patients are looking for.
  • Responsible for full stack development (TypeScript, CSS, React), data management (MongoDB, Python, SQL).
  • Set engineering best practices, managed the engineering team, and designed features to fit business needs.

Associate Software Engineer, Nike - Rotation I

September 2021 - March 2022

  • Worked in Global Operations & Logistics on the Consumer Order Management and Fulfillment team
  • Developed a Java library to standardize Splunk logs. This allowed business analytics to be done across microservices allowing new fulfillment metrics to be calculated.
  • Optimized query and dashboard performance by standardizing logging methods.
  • Built dashboards for senior management/VPs to increase observability and monitoring of Nike's consumer order management systems.

Mathematics Teaching Assistant, University of Oregon Mathematics Department

September 2020 - June 2021

  • Taught MATH 105 lab: logic, sets and counting, probability, and statistics
  • Taught MATH 105 lab: logic, sets and counting, probability, and statistics
  • Led math labs, held office hours, and graded exams and homework.
  • Was a TA during the COVID-19 pandemic so had the additional responsibility of guiding students through their first remote education

Automation Engineer Intern, Nike

June 2020 - August 2020

  • Created a virtual agent to resolve low complexity Excel issues without human interaction.
  • Utilized ServiceNow to create two predictive intelligence programs to automatically route Nike internal technology requests to the correct departments.
  • Reduced Nike IT routing time by 1,275 hours annually.

Artificial Intelligence Research Assistant, University of Oregon Computer Science Department

June 2020 - August 2020

  • Worked in the Artifical Intelligence lab under Professor Thanh Nguyen.
  • Investigated how neural networks could be used to improve computer simulations of security game theory.
  • Conducted literature reviews and tested the processing of data.

Informatics Intern, Oregon Health & Science University

June 2020 - August 2020

  • Worked in the Department of Medical Informatics and Clinical Epidemiology.
  • Transitioned electronic health records used for research purposes to a standardized relational database to improve the quality of data and analyses that come from research and clinical trials.
  • Developed a python program to parse electronic health records and transform the data into the standardized data model.
  • Organized and standardized over two million electronic health records.

Intern, Intel

June 2015 - August 2015

  • Worked in research and development of wearable devices
  • Tested and calculated the power conversion efficiency of various types of solar cells for a wearable carbon monoxide detector
  • Analyzed and presented power consumption efficiency data that informed product design