Adam Knust
Verified Expert in Engineering
Data Architecture Developer
Velpen, IN, United States
Toptal member since June 18, 2020
Adam is an experienced and successful data architect and engineer, having led the BI practice for a $4 billion company and three successful data warehouse and business intelligence implementations. Along with RDBMS platforms, Adam has Spark, Hive, and Sqoop experience on Hadoop with Java, Python, and Scala. As a former business manager, he communicates very well with all levels and picks up on the business domain extremely fast.
Portfolio
Experience
- Data Architecture - 5 years
- ETL Implementation & Design - 5 years
- Hadoop - 4 years
- Spark - 4 years
- Python - 3 years
- Software Development - 2 years
- Databricks - 1 year
- Azure - 1 year
Availability
Preferred Environment
Git, Visual Studio, PyCharm, IntelliJ IDEA, SQL Server Management Studio (SSMS), Microsoft SQL Server
The most amazing...
...thing I've single-handedly built is two data warehouses and BI solutions from requirements gathering to production delivery.
Work Experience
Data Architect
DemandJump
- Designed and modified ETLs to support business use cases.
- Built stored procedures to automate account creation in the application back end.
- Designed new integrations to integrate, transform, and load Bing Ads data into a star schema.
Data Architect
SemanticBits
- Provided lift for the analytics and reporting wing of a new federal system that was coming online.
- Built ETL from Mongo into Postgres.
- Designed system integrations.
- Built ETL processes using Python.
- Helped build automated CI/CD pipelines.
Manager of Data Engineering
Next Gear Capital
- Architected a state-of-the-art data warehouse and ETL process on the 2016 Microsoft SQL Server stack for a $4 billion financial services company.
- Sunsetted an archaic BI platform in favor of modern, feature-rich technologies and more lean, enterprise-grade processes.
- Migrated all code into Git and automated deploys through Bamboo scripts.
- Served as engineering lead on our Release Train team, which encompassed five teams of developers.
- Hired, trained, and mentored three teams of developers.
Developer
Next Gear Capital
- Supported modifications to the sales data warehouse via T-SQL stored procedures to account for new and updated KPIs and org structure.
- Updated existing risk and KPI applications in C# and ASP.NET.
- Developed extracts and transformations from Microsoft Dynamics GP accounting platform.
- Developed third-party integrations to support periodic information transfer.
- Mentored junior developers.
Manager of Data Analytics
IU Health
- Oversaw data collection of ICD, CPT, and other clinic data points.
- Developed an ETL process to extract data from our EMR and schedule solutions to analyze outcomes and costs of onsite clinic solutions.
- Developed costing models to prove cost overall savings of onsite clinics against traditional primary and immediate care strategies.
- Developed a reporting solution for the interface with the data warehouse to generate reports for clients.
- Helped effect change with our occupational health partners by sharing best practices and operational trends.
Strategic Data Manager
Purdue University - College of Agriculture
- Translated the strategic plan into objective metrics.
- Developed ETL processes to extract data from the siloed data sources to bring together in a comprehensive data warehouse.
- Provided KPI reporting to the deans and department heads, which was used to make data-based decisions.
- Served as an information resource for state and federal audits.
- Served as the primary functional analyst for Purdue's enterprise data warehouse initiative.
Experience
NextGear Capital Enterprise Data Warehouse
NextGear Capital Report Modernization
IU Health - Client Reporting Standardization
Purdue - Strategic Plan and Departmental KPI Reporting
Education
Bachelor's Degree in Economics
Purdue University - West Lafayette, IN
Certifications
Microsoft Certified Professional
Microsoft
Skills
Tools
Git, IntelliJ IDEA, PyCharm, Visual Studio, SSAS, Jenkins, Apache Maven
Languages
SQL, Java, C#, Snowflake, Scala, Python
Storage
Microsoft SQL Server, SQL Server Analysis Services (SSAS), SQL Server Integration Services (SSIS), SQL Server Management Studio (SSMS), SQL Server 2016, SQL Server Reporting Services (SSRS), SQL Server 2008, SQL Server 2008 R2, PostgreSQL, MongoDB, Database Replication, Database Administration (DBA)
Frameworks
Hadoop, Spark, ASP.NET
Paradigms
ETL, ETL Implementation & Design
Platforms
Linux, Azure, Databricks, Talend, Kubernetes, Amazon Web Services (AWS), Windows, MacOS
Other
Data Architecture, Query Optimization, Software Development, Amazon Kinesis
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