Scrum Master Qa Engineer
Resume:
Terrick Boyd
***********@*****.***
EDUCATION
Bachelor of Science Computer Science, Minor in French Dean's List for the Fall 2019 College of Natural and Applied Sciences WORK EXPERIENCE
HR Block Data Platform Team June 2021-Present
● Data Engineer on Data Ops team working with big data using Azure Data Factory, SQL Server, Databricks Python, Power BI, Excel and Spark SQL.
● Implemented a batch solution for our online tax software using Databricks and Azure Data Factory pipelines running daily to replace the legacy online tax software infrastructure. Also created a Fact table for our database allowing us to quickly view key fields from our data warehouse and replicate them across other team’s DBs using stored procedures.
● Working on prod support finding bugs, rerunning pipelines and implementing code changes to fix defects in order to maintain the databases for our enterprise applications and services.
● Performing daily data analysis tasks such as pricing reports, legal reports, and other reports.
● Experienced handling multiple tasks at one time, working as scrum master leading daily standups SplitVerse Mixed Reality LLC June 2020-June 2021
● Worked with the Unreal gaming engine(UE4) on VR game development, in a general software engineer role where I worked as a level designer, UI/UX designer, Programmer and Tester
● Extensive work developing animations in UE4.
● Designed character models and other virtual game assets in Blender MoSLAMP STEM Research Lab for MSU/Missouri S&T August 2019-June 2020
● Conducted biomedical research and data analysis for the Missouri State/Missouri S&T MoSLAMP STEM research lab which involved inquiry, design, investigation, research, data analysis, writing, and presenting results.
● Used machine learning Python libraries to extract and analyze data from CSVs and Excel files.
● Designed a Python-based software application for the Windows environment that employed a custom user interface to deploy different machine learning algorithms to quickly graph biomedical data on patients suffering from Traumatic Brain Injury (TBI).
● Conducted extensive research investigating the impact of noise on recurrent neural networks(RNN), specifically Long Short Term Memory networks(LSTM). Also analyzed biomedical patient data using machine learning Dimensionality-Reduction techniques like Isomap, clustering algorithms such as Principal Component Analysis (PCA) as well as the OpenCV (open source computer vision) library.
SKILLS & ABILITIES
● High level of attention to detail for testing catching edge cases and solving bugs
● Very skilled in Azure Data Factory, Databricks, SQL and Python
● Well versed in implementing data migration and data processing using Azure Data Factory, Databricks, Azure SQL DB/DW and Power BI
● Received Certificate in Web Programming and Certificate in French for Communication From Missouri State University
● Also received certifications in AZ-900, DP-900, Databricks Lakehouse, Databricks Machine Learning, Cisco Introduction to Cybersecurity
● Currently working as Data Engineer, QA Engineer and Scrum Master running daily stand up meetings, creating user stories and managing our backlog in Azure Dev Ops.
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