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Glenn Harless

Data Engineer

Nodus | San Diego

Technologies

My Portfolio Highlights

My New Track

Data Analyst

My New Course

Introduction to Python

My New Track

Data Analyst

Data virtuoso, transforming raw numbers into a masterpiece of understanding.

My Work

Take a look at my latest work.

course

Introduction to SQL

course

Introduction to R

course

Introduction to Python

course

Introduction to SQL

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

Courses

Introduction to Python
Introduction to SQL
Intermediate SQL
Introduction to R

My Work Experience

Where I've interned and worked during my career.

Nodus | Nov 2023 - Present

Lead Data Engineer

Architected and implemented robust data pipelines for integrating data from various sources including Shopify, Facebook, The Trade Desk, and Yahoo DSP. ● Standardized data flows using dbt, optimizing for reusability by employing macros. ● Developed FastAPI endpoints to facilitate user interaction with the data warehouse, enabling data exploration via a UI. ● Created and managed user authentication, authorization, and role-based access control within the database. ● Implemented endpoints allowing users to upload and process CSV and Excel files, streamlining data ingestion into the data warehouse
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Empirical Root | Jul 2021 - Nov 2023

Data Engineer

● Designed and maintained data warehouses across multiple cloud platforms utilizing DBT, Python, Airflow, and Cloud Build. ● Automated data ingestion from diverse APIs including Shopify, Hubspot, Facebook, Google, and Smartsheet, ensuring seamless data integration. ● Developed a Random Forest fraud detection model, achieving 86% accuracy and 81% precision, significantly reducing revenue loss. ● Enhanced fleet management efficiency by applying DBSCAN and KMeans clustering algorithms to optimize downtime and travel time. ● Led the migration and consolidation of client data warehouses from AWS to GCS, implementing a medallion architecture using lambdas, Airflow, and DBT. ● Implemented real-time marketing insights by integrating Python scripts with Google Cloud Functions, Zerobounce, and Clearbit. ● Utilized Terraform to update infrastructure, enabling the seamless connection of Kafka streams to S3 and GCS. ● Automated financial reporting and data visualizations using Python, SQL, and Metabase, improving decision-making processes. ● Established data connections in Segment to enhance data inflow into data warehouses and GA4

Mulligan Funding | Apr 2020 - Oct 2021

Data Engineer

● Engineered marketing ETL data pipelines, consolidating data from Google and Facebook Ads. ● Maintained and optimized the internal data warehouse using SQLAlchemy, Alembic, and Python. ● Conducted marketing data analysis, applying PCA and K-Means clustering to develop strategic operational plans. ● Automated the generation of marketing mailing lists using Python and SQL scripts. ● Spearheaded the design and implementation of a comprehensive business intelligence architecture, delivering end-to-end BI solutions

MeBe Clinical Services | Nov 2016 - Apr 2020

Data Scientist

Developed platform infrastructure and user interfaces to report analytics using Django, SQL, D3.js, and Plotly.js. ● Forecasted cash flows through ARIMA models, aiding executive decision-making on client distribution. ● Created predictive models for insurance claim behavior using Python, improving claim acceptance by 20%. ● Conducted in-depth data analyses with SQL, Python, and R, proposing solutions to address complex business needs. ● Built and deployed APIs using Flask, supporting various departmental dashboards and analytics. ● Streamlined data flows from CRM systems to operational reports, highlighting key internal and external metrics. ● Identified problematic medical claims through clustering algorithms, enhancing claims processing efficiency. ● Automated weekly reporting processes using Python, Docker, Cron, and Raspberry Pi, delivering customized data to executives and employees. ● Established and led the Analytics department, introducing business intelligence solutions and streamlining reporting processes. ● Automated financial reporting using SQL and Python, increasing accuracy and efficiency. ● Identified and rectified inefficiencies in business processes through data analysis, resulting in productivity improvements. ● Developed and maintained reports and dashboards using R Shiny and R Markdown, providing actionable insights to stakeholders.

UC San Diego Extension | Jul 2019 - Jan 2020

Teaching Assistant - Data Science Bootcamp

● Delivered curriculum covering advanced topics including Excel & VBA, Python, NumPy, Pandas, Matplotlib, MySQL, MongoDB, JavaScript, D3.js, Tableau, Spark, Machine Learning, and R. ● Assisted students in debugging code errors and provided guidance on algorithm selection and data visualization techniques. ● Offered supplemental tutoring on APIs, Flask, and R, enhancing students' understanding of the coursework.

My Education

Take a look at my formal education

Master of Science in Computational AnalyticsGeorgia Institute of Technology | 2023
Bachelor of Science in Cognitive ScienceUniversity of California - San Diego | 2015

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