Doni Makh

About Doni Makh

I’m passionate about solving complex problems through data! With over nine years of…

Experience

1. Senior Data Engineer

   EY

   Jun 2022 — Present · Orlando, FL, US

   I\'ve driven significant enhancements in ETL processes and data reliability, achieving up to 45% improvement in operational metrics and a 25% reduction in costs across Azure and AWS platforms: Led data migration projects securing data and ensuring compliance, impacting over 5+ major client projects. Utilized Azure Databricks with Apache Spark and Python to analyze datasets in Azure Data Lake, boosting data analysis efficiency by 25% Spearheaded the design and implementation of CI/CD pipelines using Azure DevOps and Terraform, including automated testing, which cut deployment times by 22% and streamlined release processes. Executed data modeling for Data Warehousing concepts (Kimball & Inmon) and Dimensional Modeling using Erwin Data Modeler within an Agile methodology, creating Star and Snowflake schemas with dimension and fact tables, which enhanced data retrieval efficiency by 30% and supported a 20% faster decision-making process across the organization. Developed and optimized Azure Data Factory v2 pipelines using Data Flows and Integration Runtime, and managed data transformations with SQL and Azure Synapse Analytics, enhancing data processing speed by 45% and increasing pipeline reliability by 40%. Created advanced Power BI, SSRS, and Tableau reports by leveraging DAX, SQL, and custom visualizations, enhancing stakeholder decision-making with interactive dashboards and real-time insights. Established Data Centers on Azure Cloud, utilizing Azure Data Factory, Azure Databricks with PySpark/Scala, ADLS, Azure Synapse, U-SQL, GitHub, Python, and Spark, which enhanced data processing capabilities by 40% and reduced operational costs by 25% Utilized Python to automate and streamline AWS cloud operations, increasing deployment speeds by 40% and enhancing operational reliability by 30% through scripting to manage EC2 instances, S3 buckets, and AWS Lambda functions.