Résumé of Michael Burkhardt
I am a senior data technology architect in the financial services industry, with degrees in Computer Science and Data Science. I am inquisitive and enjoy working with smart people to solve interesting problems.
Recent Work Experience
Cloud Data Architect, Huntington National Bank (Mar. 2021 – present)
- Design cloud-based architecture solutions for advanced data analytics in an enterprise data ecosystem comprising data lake, data hub, data warehouse, and data science platforms
- Consult across the organization to continuously improve capabilities and POC new services
- Work with Data & Analystics team to plan and execute data and workload migrations to the cloud—esp. data preparation and ML model building and scoring at scale
- Apply strategic architecture patterns to mitigate tech debt
- Leverage managed services and serverless technology to migrate on-prem Hadoop cluster to cloud
Adjunct Assistant Professor, University of Maryland Global Campus (Apr. 2024 – present)
- Teach geographically dispersed undergraduate students in virtual/asynchronous environment
- Advanced Data Science course is laboratory-focused, giving students hands-on experience with cloud (AWS) tools and services.
Data Architect, Magellan Health (Mar. 2017 – Mar. 2021)
- Built on-premise and cloud-based enterprise data lake and zone transformations
- Analyzed and integrated large healthcare datasets at scale (e.g. geospatial, member, socioeconomic, and claims)
- Built predictive and descriptive machine learning applications (e.g. claim risk scoring), including data pre- and postprocessing at scale
- Built natural language processing applications (e.g. facsimile processing)
- Implemented data quality integrity checking at scale
Adjunct Lecturer, The Ohio State University (2012 – 2021)
- Teach semester-long undergraduate and graduate level Computer Science courses to major and non-major students
- Courses include System Programming, Web Application Development, Problem Solving Using Spreadsheets and Databases, Introduction to Data Mining
Prior Career Experience
| Infrastructure Architect, Nationwide Insurance | 2014 – 2017 |
| Systems Engineer, Nationwide Insurance | 2008 – 2014 |
| IT Infrastructure Consultant | 2000 – 2007 |
| Web Developer, NGDA Interactive Communications | 1998 – 2000 |
| Software Quality Analyst, OCLC | 1993 – 1997 |
Skills and Tools
| Cloud (AWS) technologies for AI/ML (SageMaker, Textract, Bedrock); compute (EC2, Lambda, ECS, EKS); analytics (Athena, EMR, Glue, QuickSight, Kinesis); security (IAM, Cert. Mgr., KMS, Secrets Manager); management (CloudWatch, Systems Manager, CloudFormation); storage (S3, EFS); integration (Step Functions, EventBridge, SQS, SNS, API Gateway) |
| MLOps and CI/CD tools such as git, CodeCommit/CodeBuild/CodePipeline, Azure DevOps, SageMaker Pipelines |
| Data Science languages and frameworks for data wrangling (SQL, Pandas, [Py]Spark, dplyr); visualization (matplotlib, ggplot, Tableau, D3.js, Adobe Creative Suite); statistical analysis (R, SAS); machine learning (Scikit-Learn, MLLib, carat) |
| Analysis and modeling techniques such as exploratory data analysis, hypothesis testing, feature selection, feature engineering, model creation, time series analysis, sampling, regression, classification, clustering, recommender systems |
| Infrastructure technologies including database/data warehouse (SQL), distributed data (Hadoop, Hive, HDFS), IP network protocols (HTTP, FTP, DNS, SMTP), data security (SSL/TLS, Kerberos, SFTP, FTPS, SCP), identity and access management (LDAP, Active Directory), distributed systems (Linux/Unix) |
Education
| M.S. Data Science (2016) Southern Methodist University, Lyle School of Engineering • Emphasis on statistical methods and sampling, data mining and machine learning |
| Post-graduate study (non-degree, 2012–13) The Ohio State University, Fisher College of Business • Brand Management, Analysis for Marketing Decisions, Operations Management |
| B.S. Computer Science and Engineering (1998) The Ohio State University, College of Engineering • Specialization in Software systems, with emphasis on mathematics and foundations in the sciences and engineering |