Data Engineer candidate in Chandigarh, Chandigarh, India

Summary

A highly skilled and driven Data Engineer with a Bachelor of Technology in Computer Science from Lovely Professional University, I have accumulated significant hands-on experience in data engineering, big data technologies, and cloud platforms. With expertise in Java, Python, and a range of tools such as Apache Spark, NiFi, Databricks, and AWS, I have successfully contributed to several large-scale data projects and optimized data pipelines for efficiency and scalability.

In my most recent role at Rakuten Symphony, I developed and optimized Spark jobs and NiFi flows, resulting in a 25% improvement in data processing speed. I also implemented automated reporting systems, reducing manual effort by 80%. This role involved executing complex data processing tasks with a 95% job success rate, demonstrating my strong problem-solving and troubleshooting skills.

Previously, as an Associate Software Engineer at Xenonstack, I contributed to data integration projects using Spark, improving data accessibility by 40%. I also helped design the architecture for a big data project, increasing system automation by 30%. I gained significant experience in building cloud-based solutions with AWS and serverless technologies, reducing infrastructure costs by 15%.

Throughout my career, I have been involved in various impactful projects, including building BI report generation tools, integrating energy management systems, and developing delivery management solutions for e-commerce. I have also enhanced my skills with certifications in AWS Cloud, Microsoft Azure, and IBM Data Engineering, reflecting my commitment to continuous learning and professional growth. My goal is to leverage my skills in a dynamic, innovative environment to tackle complex data engineering challenges and drive organizational success.

Expectations

Work on Complex Data Problems: I want to engage in projects that require innovative thinking and problem-solving, particularly those that involve large-scale data processing, real-time analytics, and automation.

Leverage and Expand Cloud and Big Data Skills: I aim to work in an environment that leverages cloud platforms like AWS and Azure, and big data technologies such as Spark, Kafka, and Databricks. I am eager to further enhance my skills in these areas, including serverless architecture and data lake management.

Drive Efficiency and Automation: I am passionate about optimizing data pipelines and processes. I expect to contribute to improving data processing speeds, automating workflows, and developing scalable, cost-effective solutions that increase operational efficiency.

Collaborate in Cross-Functional Teams: I value working in collaborative, agile teams where I can exchange ideas, contribute to architecture design, and help improve the overall data ecosystem within the organization.

Continuous Learning and Career Growth: Im eager to learn new technologies, tools, and best practices, particularly in the areas of AI/ML, advanced data engineering techniques, and emerging cloud services. I also look forward to taking on greater responsibilities, such as mentoring junior engineers or leading larger data initiatives.