Summary
Sergio Fidanli is an Azure Data Engineer with over a decade of experience building scalable ETL pipelines, dimensional models, and performance-tuned databases that turn operational data into actionable business insight. He has delivered high-impact solutions at companies like Tesla—where he processed 15+ million rows to power dashboards with 2,000+ monthly viewers—and RPM Living, where he implemented Azure-native data flows and a machine learning model that improved portfolio decisions. Comfortable bridging technical and non-technical stakeholders, Sergio translates complex data concepts into clear workflows and documentation used to onboard teams and standardize reporting. His toolkit centers on Azure Data Factory, T-SQL, Azure SQL, Python, and orchestration (Airflow), and he has repeatedly turned manual processes into automated, cost-saving systems. Based in Austin, he brings a blend of analytics consulting experience from FICO and hands-on product-focused engineering for real estate and manufacturing domains. An underrated strength is his knack for combining pragmatic data governance with fast delivery to produce resilient, production-ready pipelines.
10 years of coding experience
5 years of employment as a software developer
Certification Data Analytics, Certification Data Analytics at UC Berkeley Extension
Bachelor of Business Administration - BBA Finance General, Bachelor of Business Administration - BBA Finance General at University of Florida