Prakash Kumar
Staff Application Engineer @Medidata Solutions
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WORK HISTORY
Staff Application Engineer @Medidata Solutions
London, GB
Leading a team of engineers in designing and delivering scalable, cloud-native data platforms and services using Scala, Java, and AWS. • Ensuring reliability, scalability, and performance of data pipelines and APIs by leveraging monitoring tools and analytics to optimize system health and usage. • Collaborating with cross-functional teams to translate business requirements into efficient, maintainable, and high-impact data solutions. • Driving technical strategy, architecture decisions, and implementation plans for key data initiatives. • Mentoring and coaching junior engineers, fostering a culture of continuous learning, clean code practices, and engineering excellence. • Conducting code reviews, enforcing coding standards, and promoting best practices in data engineering, system design, and performance optimization.
SKILLS
ABOUT PRAKASH KUMAR
As a Staff Application Engineer at Medidata Solutions, I am leading a team focused on building scalable, cloud-native data solutions that power innovative products in the life sciences industry. With over 10 years of experience in software development and data engineering, I bring deep expertise in functional programming (e.g, Scala), Java, data modeling, data warehousing, and distributed data processing.I design and maintain high-performance data pipelines and microservices that efficiently handle large-scale datasets. I advocate for a cloud-first architecture using AWS services to ensure scalability, reliability, and security. Performance optimization is central to my work—whether it’s fine-tuning distributed data workflows or optimizing backend systems for speed and resilience.In my leadership role, I guide a team of engineers, drive technical strategy, and collaborate with cross-functional partners to deliver impactful data solutions. I actively mentor junior engineers, conduct code reviews, and foster a culture of engineering excellence and continuous learning.I’m passionate about building clean, maintainable, and efficient systems that enable data-driven decision-making and support the development of transformative products in healthcare and life sciences.
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