Abdul Zameer Shaik

Led end-to-end system design (HLD/LLD), technology decisions, and implementation for distributed systems using Java, Spring Boot, Kafka, Kubernetes, and OCI.

Designed event-driven workflows and observability solutions with metrics, logging, and tracing, significantly improving system reliability, operational visibility, and MTTR.

Optimized backend services and asynchronous processing pipelines to improve throughput, reduce latency, and support high-volume telecom data ingestion.

Drove engineering best practices including clean architecture, code reviews, CI/CD automation, testing strategies, and production readiness standards across teams.

Mentored and guided engineers on backend development, distributed systems, debugging, and scalable architecture patterns.

Leveraged Generative AI tools to automate engineering workflows including documentation, unit test generation, and improving developer productivity by 30%

Contributed to architecture discussions, production support, and performance optimization initiatives for critical enterprise applications.

Served as a key developer for ADP DataCloud, a large-scale Big Data analytics platform powering enterprise reporting and insights for global ADP clients.

Designed and implemented ETL pipelines integrating data from multiple payroll and HR systems into centralized analytics platforms.

Developed scalable backend components and reporting services for ADP payroll solutions serving SME customers.

Collaborated with cross-functional teams to improve data quality, platform stability, and reporting performance.

Provided production support for enterprise web applications, performing root cause analysis, issue troubleshooting, and system monitoring to ensure high application availability and operational stability.

Executed functional, integration, and regression testing activities, collaborated with development teams to validate fixes, improve software quality, and support successful production releases.