STEVEN WALKER

Client project with leading swiss insurance company:

• Assisted in defining MLOPS Processes and best practices, including all stakeholders.
• Worked closely with internal teams, staff and other stakeholders to determine implementation CI/CD of ML projects using GitLab CI pipelines and Azure Data Science Workplace.
• Provided 2nd and 3rd level technical support and troubleshooting to internal and external clients.
• Monitored and tested application performance to identify potential bottlenecks, develop solutions, and collaborate with developers on solution implementation.
• Maintained renovate pipelines for Python package life-cycle management.

• Building advanced ETL pipeline for demo purpose, End-to-End utilizing Azure Databricks, Data Lake, Synapse, Power BI.
• Building advanced structured streaming pipeline for demo purpose (Schema evolution,
  Autoloader, join with static delta table, etc.).

Work done in projects and trainings:

• Built RDBMS DWH's in Azure Synapse and Azure Data Factory.
• Built DWH's including ETL pipelines in Databricks with PySpark and SQL.
• Developed visualizations to share results of data analyses in Power BI, including DAX.
• Developed On-Prem ETL pipelines in SSIS and SSMS.
• Compiled, cleaned and manipulated data for proper handling.

• Created various Excel documents to assist with pulling metrics data and presenting information to stakeholders for concise explanations of best placement for needed resources.
• In depth data analytics on financial and facility data for large real estate portfolio management companies.
• Trained employees on software to improve data management, monitored use and suggested improvements.