Associate data engineer with experience in transforming data from diverse sources into optimized views for BI tools such as Power BI. Experienced in SQL, ETL, data modeling, Azure DevOps, Git, and Agile methodologies, wi…
Associate data engineer with experience in transforming data from diverse sources into optimized views for BI tools such as Power BI. Experienced in SQL, ETL, data modeling, Azure DevOps, Git, and Agile methodologies, with a background in supporting data processing, analytics, and production-level ETL jobs.
Transformed data from diverse sources into optimized views for utilization in BI tools such as Power BI.
Collaborated with data modeling efforts, aligning complex data sets with nonfunctional and functional business requirements.
Applied query optimization to enhance data processing and storage capabilities, ensuring efficient data retrieval.
Monitored and successfully met SLA requirements for Production-level ETL jobs with a 95% adherence rate.
Teamed effectively with cross-functional teams using Azure DevOps and Git, improving project delivery times by 15%.
Demonstrated proficiency in writing complex SQL queries and stored procedures to support data processing and analytics needs, contributing to successful project outcomes.
Engaged actively in Agile methodologies, contributing to daily scrum meetings, sprint refinement, planning, retrospectives, and other Agile processes.
This dedication facilitated the consistent and precise delivery of over 5 user stories and process enhancements per sprint cycle.
Implemented a scalable data processing pipeline for Cotton Wood Financial, handling large volumes of financial data.
Assisted in the migration of Cottonwood Financial's on-premises data infrastructure to the Azure cloud.
Constantly monitored and optimized data infrastructure, ensuring high availability, performance, and scalability.
Delivered technical expertise and support to clients, assisting with data-related technical issues and optimizing critical production jobs.
Executed data transformations to facilitate advanced analytics and reporting.
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