Azure Developer Resume Example

Lead Azure Data Engineer · Capgemini

Chicago, IL · 2022 - Present

• Architected and implemented complex ETL/ELT data pipelines using Azure Data Factory and Databricks for a major financial client, processing over 5TB of data daily with a 30% reduction in processing time.
• Led a team of 4 engineers in migrating an on-premises data warehouse to Azure Synapse Analytics, achieving a 40% cost saving on infrastructure and improving query performance by 25%.
• Developed and deployed serverless Azure Functions for real-time data ingestion and transformation, increasing data availability by 99.9% for critical reporting dashboards.
• Implemented robust data quality checks and monitoring frameworks within Azure Monitor and Azure DevOps, reducing data integrity issues by 18%.
• Automated CI/CD pipelines for data solutions using Azure DevOps, enabling faster deployment cycles and reducing manual effort by 20%.

Cloud Data Engineer · Fidelity Investments

Boston, MA · 2019 - 2022

• Designed and built secure, scalable data lakes on Azure Data Lake Storage Gen2, ingesting diverse datasets from over 15 disparate sources, improving data accessibility for analysts by 50%.
• Developed C# and Python-based data processing applications integrated with Azure Event Hubs and Azure Functions, handling peak loads of 10,000 events/second for real-time analytics.
• Collaborated with data scientists to optimize Azure Databricks notebooks for large-scale data analysis, accelerating model training times by 35%.
• Managed and optimized Azure SQL Database instances and Cosmos DB collections, ensuring high availability and performance for critical business applications, maintaining 99.99% uptime.

Bachelor of Science in Computer Science · University of Illinois Urbana-Champaign

Urbana, IL · 2015 - 2019

• Graduated with High Honors, GPA: 3.8/4.0
• Relevant Coursework: Data Structures & Algorithms, Database Systems, Cloud Computing Fundamentals, Machine Learning, Distributed Systems
• Senior Capstone Project: Developed a real-time sentiment analysis platform using Azure Stream Analytics and Power BI for social media data.

Azure Developer · Digital Horizon Solutions

Austin, TX · 2024 - Present

• Designed and implemented a serverless order processing system using Azure Functions, Azure Service Bus, and Azure Cosmos DB, reducing processing latency by 40% and cutting infrastructure costs by 25%.
• Developed and maintained CI/CD pipelines with Azure DevOps for 5+ microservices, accelerating deployment frequency by 50% and improving release reliability.
• Optimized Azure Kubernetes Service (AKS) clusters for containerized applications, resulting in a 30% increase in resource utilization efficiency and a 15% reduction in operational overhead.
• Collaborated with cross-functional teams to integrate Azure Cognitive Services into existing applications, enhancing user experience through AI-driven features like sentiment analysis and natural language processing.

Associate Cloud Engineer · CloudCraft Innovations

Austin, TX · 2022 - 2024

• Migrated 3 on-premise applications to Azure App Service and Azure SQL Database, achieving 99.9% uptime and reducing hardware maintenance costs by $50K annually.
• Automated infrastructure provisioning using Azure Resource Manager (ARM) templates, decreasing deployment time for new environments from hours to minutes.
• Implemented robust monitoring and alerting solutions using Azure Monitor and Application Insights, improving incident detection by 60% and resolution time by 30%.

Backend Software Engineer · DataFlow Analytics

Dallas, TX · 2020 - 2021

• Developed and maintained Python-based APIs for data ingestion and processing, handling over 1 million transactions daily with 99.8% data accuracy.
• Optimized SQL queries and database schemas for PostgreSQL, improving report generation performance by 35% for key business intelligence dashboards.
• Contributed to the design of a scalable microservices architecture, reducing system coupling and facilitating independent deployment cycles by 20%.

Master of Science in Computer Science · University of Texas at Austin

Austin, TX · 2019 - 2021

• Specialized in Distributed Systems and Cloud Computing, maintaining a 3.8/4.0 GPA.
• Thesis: 'Optimizing Container Orchestration on Hybrid Cloud Environments,' focusing on Azure Kubernetes Service integrations.
• Relevant Coursework: Advanced Cloud Architecture, Big Data Analytics, Machine Learning Engineering.

Bachelor of Science in Electrical Engineering · University of Houston

Houston, TX · 2015 - 2019

• Graduated Cum Laude with a 3.7/4.0 GPA.
• Completed capstone project on embedded system design with IoT connectivity.
• Relevant Coursework: Object-Oriented Programming, Data Structures & Algorithms, Digital Signal Processing.