Open to opportunities

William Morse

@williammorse

Message

Senior Data Engineer | Azure | Databricks

United States

Message

What I'm looking for

I seek roles where I can lead fraud detection and ML platform work, collaborate cross-functionally, mentor teams, and deliver measurable reductions in fraud and operational cost.

Senior Data Engineer with 10+ years of experience designing, building, and optimizing enterprise-scale cloud-native data platforms, lakehouse architectures, and modern analytics ecosystems across highly regulated and fast-paced business environments. Proven expertise delivering scalable data engineering solutions using Azure Databricks, Apache Spark, PySpark, Python, SQL, Delta Lake, and distributed cloud technologies while collaborating closely with cross-functional stakeholders, architects, analysts, product teams, and executive leadership. Strong background leading large-scale ETL/ELT modernization initiatives, implementing enterprise governance frameworks, improving data reliability and observability, and supporting advanced analytics and AI/ML workloads through highly performant and secure data pipelines. Recognized for excellent communication, stakeholder management, mentoring, analytical thinking, problem-solving, ownership mindset, and ability to deliver reliable business outcomes within agile and rapidly evolving enterprise organizations. Experienced driving technical strategy, improving operational excellence, mentoring junior engineers, facilitating architecture discussions, and delivering scalable cloud modernization initiatives aligned with business objectives and longterm organizational growth.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

Uber Eats

Jan 2021 - Present (5 years 7 months)

Led enterprise-scale lakehouse modernization initiatives using Azure Databricks, Apache Spark, PySpark, Python, and Delta
Lake while collaborating closely with analytics, product, and infrastructure teams to improve scalability, reliability, and
operational efficiency across high-volume distributed data environments.

Python Kafka Apache Beam BigQuery Airflow MLFlow Azure Databricks

Data Engineer

Sep 2017 - Jan 2021 (3 years 4 months)

Architected enterprise cloud-native data platforms using Azure Databricks, Apache Spark, PySpark, Python, and SQL while
collaborating with business leaders, analysts, and technical stakeholders to modernize legacy reporting and analytics
ecosystems for large-scale enterprise clients.

Python Airflow Kafka BigQuery Feast Azure Databricks

Data Engineer

Coca-Cola Company

Jun 2016 - Aug 2017 (1 year 2 months)

Developed scalable enterprise data pipelines using Python and SQL while collaborating closely with analysts, reporting
teams, and business stakeholders to improve reporting accuracy, operational efficiency, and trusted access to businesscritical analytics datasets.

PostgreSQL Python scikit learn Airflow Spark Docker Kubernetes Azure Databricks

Data Engineer

Insilicom LLC

May 2015 - May 2016 (1 year)

Delivered enterprise data integration solutions using Python and SQL while collaborating with technical teams and
business stakeholders to improve operational reporting, data accessibility, and enterprise-wide analytics capabilities across
internal business functions.

R Python SQL scikit learn Airflow Tableau MLFlow Azure Databricks

Education

Degrees, certifications, and relevant coursework

University of Florida

Master of Science, Data Science

2014 - 2015

Grade: 3.9

Activities and societies: Student Government

Completed a Master's degree in Computer Science with coursework and projects focused on applied machine learning and large-scale data processing.

University of Florida

Bachelor of Science, Computer Science

2010 - 2014

Completed a Bachelor's degree in Computer Science covering programming, algorithms, and data systems used to support subsequent work in data science and machine learning.