Lead Data Engineer
CurrentRelevant Technologies Utilized: T-SQL, SQL Server 2017/2019/2022/Azure SQL, Data Warehousing, SSIS, PowerShell, Azure Suite (Azure Administration, Azure DevOps, Azure Data Studio, Azure Databricks, Azure Virtual Machines), Databricks, Python, JIRA, Asana, Agile Development, Sisense, Bitbucket Transformed data architecture from disparate production only servers to consolidated development, UAT, and production SQL server environments. Implemented Bitbucket for source control and Azure DevOps for automated deployments of the databases. Built out the data warehouse that powers client facing analytics applications and is utilized by entire development organization. Built end to end integrations with various insurance agency management systems (AMS360, Epic, EZLynx, etc.) into said data warehouse which enables clients to have a unified analytics experience and executives to have consolidated dashboards. Built automated refresh mechanisms using stored procedures, SQL Agent and SSIS for orchestration. Other responsibilities include SQL performance optimizations (commonly 80% or better gains), Azure tasks (building Virtual Machines with SQL Server, DataBricks integration using Python and Azure SQL to data warehouse), some database administration tasks (security, server troubleshooting) and more.