Remote Data Engineer

Data Engineering, Data Governance, Data Architecture, Data Modeling, Data Analysis, Enterprise and Operational Reporting

Extensive track record as a Senior Analyst, Data Engineer, Data Quality Engineer, Data Architect and Data Modeler, as well as broad experience in Data Governance for a wide variety of industries and subject matters.

The latest project in my Github is a Power Bi report sourced from a Delta Lake that is Upserted weekly, populated by a Data Architecture which includes an Azure Logic App, Azure Data Factory, Azure Databricks notebooks coded in PySpark and Spark SQL.

All my projects are 100% validated and documented before moved to production.

In my previous Senior Data Engineer roles, I had the opportunity to work extensively with various Microsoft tools such as Azure Data Factory, Azure SQL, and Azure Synapse Analytics. I was responsible for orchestrating bulk copy pipelines within Azure Data Factory, championing standard operating procedures for moving artifacts through CI/CD pipelines, and designing, validating and scripting stored procedures that loaded Fact and Dim tables into Azure SQL in under 5 minutes, 100% validated for data accuracy and completeness, with documentation. Furthermore, I built reliable roadmaps in Azure DevOps for addressing vague technical problems, creating Data Models and Analytical Reports with complex Dax Tables, Measures, and Columns for enterprise-wide route reporting utilizing Power BI.

Another Power Bi in my Github showcases mastery including DAX functions for Month to Date calculations, DAX tables for top 3 values, visuals with drill down and slicing functionality, bookmarks for navigation, a glossary and accompanying documentation.

In my Data Quality Engineer roles, I set up a data estate for hardware engineering information systems in Microsoft Purview, and I built a proof of concept by populating databases in Azure SQL and Azure Synapse Analytics. Additionally, I created Python scripts for Exploratory Data Analysis of Machine Learning datasets, worked with SMEs to scan databases, set up schedules in Purview, and deleted items in Purview using REST APIs. Updating tasks for Sprint Planning and maintaining code in repos were also a part of my responsibilities as a data quality engineer at Microsoft.

In my hospital roles, I have earned certifications in Cerner and Epic Clarity, re-written Transact SQL reports into Spark SQL within Databricks, created dependable Tabular Data Models from Clarity data to simplify Surgical Reporting, in addition to troubleshooting optimized canned Epic Crystal and Webi reports for faster run times.

Overall, my experience will enable me to drive efficiency, create formal processes, design and develop data architecture, build reliable roadmaps, and optimize reports using various tools and technologies for your organization.

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