Danny

About Danny

I\'m a Senior Data Engineer with over nine years of experience helping companies make sense of their data and use it to make smarter decisions. I specialize in building reliable, end-to-end data solutions that turn raw data into valuable insights. Solve real business problems using structured data solutions Mentor junior engineers on building full-scale corporate data lakehouses in Databricks (bronze, silver, gold architecture) Collaborate closely with business users to turn their needs into working data products Deliver clear insights through well-designed dashboards and automated reporting systems I led a full end-to-end data project for the marketing analytics team. I started by meeting with stakeholders to understand what metrics they needed — things like customer engagement, campaign performance, and regional sales trends. From there, I designed a data model and built ETL pipelines in Azure Data Factory and Databricks to process raw data from multiple systems. I set up a clean, scalable lakehouse structure (bronze, silver, gold) in Databricks and worked closely with the QA team to validate the data at each step. Finally, I built an interactive Power BI dashboard tailored to each business unit. The dashboard allowed leadership to make faster decisions, track marketing ROI, and plan campaigns more effectively. 🤝 I connect the dots between raw data and real business needs I build systems that are scalable, easy to maintain, and ready for future growth I coach junior developers, helping them understand both the tools and the big-picture thinking needed for successful data engineering I turn conversations with stakeholders into working solutions they can rely on

Experience

1. Senior Data Engineer

   Deloitte

   Mar 2021 — Present · Miami, FL, US

   Led secure, large-scale data migrations for major clients, ensuring compliance and smooth transitions without business disruption. Built enterprise-grade data analysis platforms in Azure using Databricks and Spark, enabling faster and more strategic business insights. Delivered robust CI/CD pipelines with Azure DevOps and Terraform, boosting deployment reliability and DevOps maturity. Designed and led data warehouse architecture (Star/Snowflake models) to drive faster reporting and executive decision-making. Developed scalable ETL pipelines in Azure Data Factory and Synapse, ensuring resilient and growth-ready data systems. Created executive dashboards and real-time reports with Power BI, SSRS, and Tableau, making complex data simple and actionable. Architected cloud-native data platforms on Azure, future-proofing infrastructure and scaling data operations efficiently. Automated AWS cloud operations with Python, streamlining resource management and shifting focus to strategic initiatives.

Education

• Illinois State University

  Master of Business Administration - MBA

• Tashkent University of Information Technologies TUIT

  Computer Science