Shubham's CV
Shubham Jaiman
Engineering Manager | Engineering Leader | Backend, Distributed Systems & Data Platforms
Profile summary
Engineering Leader with 11 years of experience building and scaling backend systems, distributed data platforms and high-volume data processing solutions across enterprise environments. Strong hands-on expertise in Java, Spring Boot, Microservices, Apache Spark, Kafka and AWS, combined with proven people leadership and delivery ownership. Currently leading 15+ engineers across multiple teams, with responsibility spanning technical direction, architecture, engineering execution, staffing, performance development and production reliability. Experienced in translating business requirements into scalable technical solutions, partnering with Product and business stakeholders, and driving engineering improvements across the full delivery lifecycle. Proven track record of system modernization, distributed data processing and performance optimization, including reducing Spark pipeline runtime by 45% through partitioning, join optimization and resource tuning.
Career highlights
Team Leadership: Led engineering teams comprising 15+ engineers, driving technical direction, delivery execution, mentoring and engineering practices.
Performance Optimization: Reduced Apache Spark pipeline runtime by 45% through partitioning, join optimization and resource tuning.
Platform Modernization: Modernized legacy data-processing platforms using Apache Spark, improving processing reliability, scalability and maintainability.
Enterprise Delivery: Delivered enterprise-scale backend and data-platform solutions supporting high-volume processing and analytics workloads.
Speaking: Speaker at Cerner DevCon in 2015, 2018 and 2019 on Big Data and performance optimization.
Awards: Received multiple performance excellence awards at Oracle Cerner and Carelon Global Solutions.
Key skills
Professional experience
Products: Pharmacy Data APIs (Advanced Home Delivery), Payment Integrity & Collections Platform
- Lead and mentor 15+ engineers across multiple teams, providing technical direction, engineering guidance, staffing support, performance development and delivery leadership.
- Own engineering execution across system design, architecture, development, deployment and production support, ensuring alignment between technical outcomes and business priorities.
- Architect and develop Java/Spring Boot microservices and REST APIs supporting scalable backend and data-platform capabilities.
- Design and support event-driven data processing workflows using Apache Kafka for reliable, scalable data ingestion and downstream processing.
- Partner with Product Managers and business stakeholders to translate business requirements into scalable and maintainable technical solutions.
- Drive sprint planning, prioritization and execution across teams, balancing engineering priorities with product and business objectives.
- Participate in hiring and onboarding, defining technical expectations and supporting engineers through their growth and career development.
- Own performance feedback and development for engineers across the teams, fostering strong engineering practices and technical growth.
- Proactively identify and resolve production issues, improving system stability, reliability and operational readiness.
- Standardize API documentation and engineering practices to improve developer onboarding, consistency and maintainability.
Growth Path: Software Engineer → Senior Team Lead | Products: HealtheAnalytics – Revenue Cycle, Acute Case Management
- Managed and mentored a team of 8 engineers developing large-scale data processing solutions using Apache Spark for enterprise analytics platforms.
- Designed and optimized high-volume data pipelines to improve processing efficiency, scalability and reliability.
- Reduced Spark pipeline runtime by 45% through partitioning, join optimization and resource tuning.
- Led modernization of legacy data-processing solutions by transitioning workloads to Apache Spark, improving scalability, maintainability and processing reliability.
- Designed and developed REST APIs enabling reliable access to enterprise data and reducing manual reporting effort.
- Contributed to migration and modernization of data pipelines on AWS, improving scalability, maintainability and system efficiency.
- Developed reusable engineering frameworks and best practices to improve team productivity, onboarding and development consistency.
- Collaborated with cross-functional stakeholders to define requirements, evaluate technical approaches and deliver reliable engineering solutions.
- Provided production support for critical enterprise systems, driving timely resolution of high-impact issues and maintaining system reliability.
- Mentored engineers and contributed to improvements in engineering productivity, technical practices and team capability.
Education
- CGPA: 8.26