Zhenyu Zhang-Backend Engineer (Java)
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Experience
Backend Engineer (Java)
Huawei
- Built a scalable data platform processing millions of structured records daily from multiple sources, enabling near real-time analytics, dashboards, and secure report exports.
- Supported business decision-making by reducing latency in insights and ensuring data reliability.
- Designed and deployed high-throughput Kafka ingestion pipelines, reliably processing millions of records daily for enterprise analytics.
- Built a Redis-based distributed self-healing task system, reducing manual intervention by ~90% and improving overall platform reliability.
- Improved database write performance, increasing ingestion throughput by ~40% and enabling near real-time data availability.
- Developed high-performance RESTful APIs for multi-dimensional analytics and TopN statistics, supporting enterprise teams in identifying key trends and anomalies.
- Optimized queries with caching, materialized views, and partitioned tables, reducing latency under heavy load by ~80%.
- Integrated application-layer Role-Based Access Control (RBAC) to enforce fine-grained data permissions, ensuring secure API access and compliance.
- Improved Jenkins + AWS EKS CI/CD pipelines for zero-downtime deployments and automated rollback, reducing deployment failures by ~90%.
Backend Engineer (Golang)
Huawei
- Managed millions of configuration records daily, implementing partitioned processing pipelines to improve throughput by ~30%.
- Introduced per-record retries, automated alerting, and nightly consistency checks, proactively detecting and resolving potential data inconsistencies.
- Designed unified RESTful APIs handling both synchronous and asynchronous message flows, ensuring low latency and high reliability.
- Reduced service downtime through heartbeat-based liveness detection, automatic service re-registration, and upstream failover notifications.
Industry experience
See where this freelancer has spent most of their professional time.
Experienced in Telecommunication.
Business area experience
See which departments and functions this freelancer has contributed to most.
Experienced in Information Technology and Business Intelligence.
Summary
Experienced backend engineer with 5+ years in designing and building high-scale data platforms and microservices. Skilled in Java, Go, PostgreSQL, Redis, Kafka, and cloud-native architectures on AWS and Kubernetes. Proven track record in optimizing data ingestion, ensuring high availability, and delivering reliable APIs for large-scale applications. Strong focus on performance, scalability, and business impact.
Languages
Education
Xidian University
Bachelor’s · Software Engineering · Xi An Shi, China
Statistics
Experience
Expertise
Qualifications
Profile
Frequently asked questions
Have questions? Find more information here.
Zhenyu is based in Berlin, Germany.
Zhenyu speaks the following languages: Chinese (Native), English (Intermediate).
Zhenyu has at least 6 years of experience. During this time, Zhenyu has worked in at least 2 different roles and for 1 company. The average length of individual experience is 3 years and 11 months. Note that Zhenyu may not have shared all experience and actually has more experience.
Based on recent experience, Zhenyu would be well-suited for roles such as: Backend Engineer (Java), Backend Engineer (Golang).
Zhenyu's most recent position is Backend Engineer (Java) at Huawei.
In recent years, Zhenyu has worked for Huawei.
Zhenyu is most experienced in industries like Telecommunication.
Zhenyu is most experienced in business areas like Information Technology and Business Intelligence.
Zhenyu has recently worked in industries like Telecommunication.
Zhenyu has recently worked in business areas like Business Intelligence and Information Technology.
Zhenyu holds a Bachelor in Software Engineering from Xidian University.
The availability of Zhenyu needs to be confirmed.
Daily rate distribution
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Average rates for similar positions
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The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 26 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
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