Abdul Khan

Azure Data Engineer with 4+ years of experience designing and delivering scalable ETL/ELT pipelines, cloud data warehousing, and BI reporting solutions across Azure Data Factory, Databricks, Microsoft Fabric, and Power BI. Track record of improving reporting efficiency by 30%, reducing manual processing effort by 25%, leading cross-functional teams of 5+ engineers, and maintaining 95%+ SLA compliance across enterprise data platforms serving 100+ stakeholders.

Microsoft Certified: Fabric Analytics Engineer Associate (DP-600) with strong expertise in data modeling, pipeline automation, cloud security, and stakeholder collaboration.

Technology Analyst at Infosys (2021-07 – Present)

• Designed and optimized 15+ ETL pipelines integrating multiple data sources into unified reporting solutions, reducing manual reporting effort by 25% and cutting weekly processing time by 10+ hours.
• Built and maintained 20+ Power BI dashboards and reports for enterprise analytics, supporting data-driven decisions for 100+ business stakeholders across 6 departments.
• Delivered Microsoft Fabric and Power BI technical support, resolving 40+ integration and performance issues per month within SLA at a 95%+ satisfaction rate.
• Engineered Azure Queue-triggered WebJobs and Lambda functions to automate data export and integration workflows, cutting manual processing time by 30% and eliminating 8+ hours of manual effort weekly.
• Built and deployed RESTful APIs using.NET Framework and Node.js, supporting 25+ integration endpoints across production systems.
• Resolved 50+ complex UI/backend defects using Node.js, TypeScript, and Angular, improving application stability and reducing production incidents by 20%.
• Collaborated with cross-functional teams of 10+ engineers and stakeholders in Agile/Scrum sprints, consistently delivering releases on schedule.

Bachelor of Technology (B.Tech) in Computer Science Engineering – KCC Institute of Technology and Management (2020)