Summary
Overview
Work History
Education
Skills
Websites
Interests
Work Preference
Timeline
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Sam Stiyer

Sam Stiyer

Software Engineer
Atlanta,GA

Summary

Seasoned Software Engineer experienced developing applications with intensive data requirements and cloud computing solutions. Smart professional with proven troubleshooting and debugging capabilities for resolving complex technical issues.

Overview

8
8
years of professional experience
6
6
years of post-secondary education
4
4
Languages

Work History

Software Engineer - Data

Teamable
04.2022 - Current
  • Built large scale data pipelines that processed over 350 million candidates and billions of employments and educations.
  • Built the companies first data warehouse in Google Cloud Platforms BigQuery, leveraging a variety of cloud services to move data between multiple clouds and data stores.
  • Created Microservices in Python to support AI initiatives and support data workflows between applications using FastAPI, Pydantic, and other modern python frameworks.
  • Contributed to AI recommendations using OpenSearch KNN Indices, Word2Vec, and other AI libraries in Python. Helped design how we would dynamically refresh candidate recommendations based off feedback from recruiters sourcing workflows.
  • Managed, Maintained and Optimized massive Amazon OpenSearch Clusters (ElasticSearch) with hundreds of millions of candidates and thousands of KNN searches per second.
  • Designed robust testing frameworks to validate functionality and ensure a high level of quality assurance.
  • Refactored legacy codebases for improved maintainability, paving the way for easier future updates.
  • Consistently met project deadlines by effectively managing time and prioritizing tasks according to importance.

Software Engineer - Data

SpendHQ
11.2020 - 04.2022
  • Completely Re-Built SpendHQ's Application Data Pipeline, leading to a 400% Increase in Performance, using Python, Celery, and Snowflake
  • Established CLI and API interfaces for other engineers to leverage with Typer and FastAPI Respectively
  • Leveraged new Data Pipeline to support SpendHQ's most Requested User Feature, which allows users to actively manage their own data through the creation of User Defined Rules that are Added, Modified and Deleted at the Users Discretion
  • Played a lead role through the entire feature development process from design to implementation
  • Collaborated with engineering, product, and designers to bring the feature to fruition
  • Created and Maintained Microservices using Docker for Containerization and Kubernetes for Orchestration
  • Along with Continuous Integration and Deployment
  • Continuous Integration automatically built docker images and ran unit, integration, e2e tests during builds
  • Established standard procedures for version control, code review, deployment, and documentation to ensure consistency across the team''s work products.
  • Established Snowflake as the Primary Data Warehousing and Processing solution for the Technology Team.
  • Provided technical guidance and mentorship to junior team members, fostering a collaborative learning environment within the organization.
  • Migrated legacy systems to modern big-data technologies, improving performance and scalability while minimizing business disruption.
  • Collaborated with cross-functional teams for seamless integration of data sources into the company''s data ecosystem.

Data Engineer

Softcrylic
07.2018 - 11.2020
  • Built a Batch Data Pipeline which linked Delta's transaction level ticket information to last touch and last click tracking attribution
  • The pipeline leveraged various AWS services
  • Glue for ELT and ETL with Spark
  • S3 and Redshift for data storage
  • Lambda/CloudWatch events for Orchestration
  • This pipeline has also been extended to meet other user needs such as processing shopping visits on Delta's website and other analytics projects
  • Designed the technical approach for implementing Softcrylic's TapestryKPI Tag to interact with Delta Airline's technology agency partners (Moveable Inc & Adylic) in order to collect the different marketing channel implementations of xCheck's API for programmatic flight pricing, as well as the back end aggregation requirements needed to tie xCheck's programmatically advertised price to the customer's website journey and behavior on Delta's website
  • Engineered customer level data environment, which merged/aggregated hit level (Advertising & Onsite Conversions) data from Softcrylic's TapestryKPI Tag and Delta Airline's customer data warehouse to be leveraged for customer segmentation and other Data Science applications
  • Developed using: Python, Spark (Pyspark), and Amazon Web services (Redshift & Glue)
  • Developed a DNN using Python's Keras library to assign IHG Hotel Brand Affinity labels to Cookies in order to improve a large marketing campaigns ability to target Cookies which share similar features to Customers which have a clear Hotel Brand preference
  • Played a lead role in "Blender" - an organization/cross-practice learning team established to create a Machine Learning & AI product using AWS Services: Sagemaker, Comprehend, Glue, and Lambda Functions
  • Led presentation of project to CEO & company, which garnered support for our team to leverage the findings of our work to deploy model for two new proof of concepts
  • Built simple API interfaces to write and pull from backend data sources using Python, Flask, and Docker on Google Cloud Platform.

Education

Master of Science - Applied Economics

Florida State University
Tallahassee
01.2017 - 05.2018

Bachelor of Science - Economics & Psychology

Florida State University
Tallahassee
01.2012 - 05.2016

Skills

Python

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Interests

Golf

Magic: The Gathering

College Football

Computer Games

Work Preference

Work Type

Full Time

Work Location

Remote

Important To Me

Company CultureWork-life balanceCareer advancementPaid sick leaveHealthcare benefits401k matchPaid time offFlexible work hoursStock Options / Equity / Profit Sharing

Timeline

Software Engineer - Data

Teamable
04.2022 - Current

Software Engineer - Data

SpendHQ
11.2020 - 04.2022

Data Engineer

Softcrylic
07.2018 - 11.2020

Master of Science - Applied Economics

Florida State University
01.2017 - 05.2018

Bachelor of Science - Economics & Psychology

Florida State University
01.2012 - 05.2016

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Sam StiyerSoftware Engineer