Hello! I am Amal Krishna, a dynamic Data Engineer with over 2 years of experience in building and optimizing large-scale data pipelines. My expertise lies in leveraging technologies such as Spark, Scala, and AWS to drive efficiency and success in data engineering projects. I am passionate about transforming raw data into actionable insights and have a proven track record of delivering performance enhancements across various systems. Currently, I am pursuing my AWS Certified Data Engineer - Associate certification to further enhance my skills in cloud-native solutions. Throughout my career, I have successfully spearheaded significant projects, including the deployment of HP Workforce Experience, where I onboarded over 90,000 devices and designed critical network KPIs. My collaborative approach allows me to work effectively with cross-functional teams, ensuring that our data engineering solutions align with business goals. I am committed to continuous learning and improvement, and I thrive in environments that challenge me to innovate and optimize. Key Achievements: - Achieved a 35% reduction in daily operational costs by optimizing Spark jobs. - Streamlined the deployment of network KPIs, reducing delivery timelines by 3-4 weeks. - Improved CPU lifespan by 50% through the resolution of critical thermal issues. - Enhanced the accuracy KPIs by 25-30%, enabling better diagnostics. Education School: MIT ADT University Degree: B. Tech Field of Study: Information Technology Start Year: 2019 End Year: 2023 Grade: CGPA: 8.26/10 Certification: AWS Certified Data Engineer - Associate (On-Going) Currently working on converting batch jobs to real-time using Lambda, SNS and SQS.(On-Going)