Fahad Sarwar

• Architecture & Security: Spearhead end-to-end design of cloud-native financial
applications using Java, Spring Boot, and AWS (Lambda, S3, SQS, SNS), enforcing
Spring Security and JWT-based authentication for robust security.
• Microservices & API-First: Implemented API-first microservices with Docker,
Kubernetes, Helm, and Terraform, cutting deployment time by 40% and reducing
infrastructure costs by 15%.
• Complex Problem-Solving: Address highly complex BFSI use cases, implementing
advanced caching and partitioning strategies that enable stable handling of 2M+ daily
transactions.
• DevOps & CI/CD: Enforced TDD, code reviews, and fully automated Jenkins pipelines,
accelerating release cycles by 30% and slashing production defects by 25%.
• Mentorship & Culture: Mentored junior engineers on secure coding, OOD, and
performance optimizations, boosting overall team productivity by 20%.
• Stakeholder Collaboration: Collaborated with product managers to realign
architecture with evolving business goals, reducing production incidents by 45% and
ensuring 99.95% system availability.

• Legacy Modernization: Migrated monolithic components to Spring Cloud-based
microservices, reducing downtime by 40% and improving resiliency.
• Secure Integrations: Streamlined data transformations using Apache Camel and JWT
based layers, ensuring safe and auditable workflows.
• Data Validation & ETL: Introduced Python scripts and Nexla for data integration,
achieving 99.9% data accuracy for high-volume data sets.

• Scalable Java Apps: Built strategic web applications with Java, Spring Boot, and
RESTful APIs following API-first principles, reducing development lead times by
25%.
• End-to-End Delivery: Led Agile cycles, enforced OOD patterns, and deployed via CI/CD
pipelines, decreasing regression issues by 30%.
• High Uptime Orchestration: Utilized Docker and Kubernetes for near-continuous
availability, resulting in 20% drop-in service outages.

• Agile Development: Deployed new features, debugged production issues, and optimized
internal tools in an Agile setting, cutting release times by 25%.
• Systems Optimization: Maintained distributed applications with strict OOD best
practices, reducing system performance bottlenecks by 40%.
• Collaborative Delivery: Coordinated with cross-functional teams to align technical
roadmaps with shifting business objectives.

• Enterprise Solutions: Enhanced Java-based enterprise apps and APIs, boosting
performance by 30% and improving cross-team integration.
• Advanced Data Structures: Leveraged algorithms to optimize core modules,
decreasing data processing time by 25%.
• Design Patterns: Reinforced OOP and design pattern usage, trimming technical debt by
45%.

• CI/CD & Automation: Developed Java and Ruby applications, integrating Jenkins to
automate builds, lowering manual overhead by 35%.
• Database Management: Fine-tuned queries for diverse client projects, cutting DB
overhead costs by 15% and improving uptime.
• Ruby-based Tooling: Employed Ruby for select utilities to automate integrations and
data validations, reinforcing a flexible tech stack.