滢小白
全栈软件工程师
Apple · 10年经验
日薪：
￥500/8h
地点：
上海 闵行
时间：
下班后可工作日远程
信用行为
0
接单数
0
评价数
0
收藏数
技术能力
Languages:
C++/C, Python, Java, HTML & CSS, Javascript/Typescript, Swift, SQL
Frameworks/Libraries:
Spring/Spring-boot, Spring Security, REST API, AngularJS, Pytorch
Cloud/Databases:
Kubernetes, Docker, AWS, MySQL, NoSQL, Cassandra, PostgreSQL
Tools:
Splunk, Grafana, Git, Bash/Shell, MapReduce, CI/CD
Courses/Concepts:
Data Structures, Algorithms, OOP, Networking, Operating System, Database, Web development,
Cloud Computing, Parallel and Distributed Systems, Machine Learning, Agile, Scrum, Probability, Linear Programming
C++/C, Python, Java, HTML & CSS, Javascript/Typescript, Swift, SQL
Frameworks/Libraries:
Spring/Spring-boot, Spring Security, REST API, AngularJS, Pytorch
Cloud/Databases:
Kubernetes, Docker, AWS, MySQL, NoSQL, Cassandra, PostgreSQL
Tools:
Splunk, Grafana, Git, Bash/Shell, MapReduce, CI/CD
Courses/Concepts:
Data Structures, Algorithms, OOP, Networking, Operating System, Database, Web development,
Cloud Computing, Parallel and Distributed Systems, Machine Learning, Agile, Scrum, Probability, Linear Programming
项目经验
Apple
1.Indepdendently developed a brand-new web application from scratch, which is currently used by global retail
store clients
2.In charge of both frontend and backend development, as well as creating data ingestion pipeline, architecture
design, performance optimization,CI/CD deployment, system monitoring through dashboard and alerts, etc
3.Communicated with cross-functional teams to get to know their user experience and technically improve it
JD.com
1.Engaged in the promise calculation system development to provide clients with accurate promise for their product
2.Implemented data ingestion pipelines to load data from a variety data sources, both periodically and in real time,
with 10 millions amount of data per minute
3.Optimized the data ingestion logic through a variety strategies, including SQL query optimization, multi-threading,
data caching, queues, rate limiting, etc
4.Containerized and deployed applications using Docker, managed deployment and scaling on JD Cloud platform
In charge of System architecture design and optimization, reducing API latency and improving user experience
Amazon
1.Provide regional shipping capability to Amazon third-party sellers
2.Enhance Seller Experience through shipping intelligence to automatically generate shipping settings for sellers
3.Collaborated with cross-functional teams to align backend integrations with production pipeline requirements as
well as integration testing
4.Enable first-time and regular customers to find new content using all Amazon Music clients
5.Migrate Data Aggregation APIs from server-side Javascript platform to Coral and AWS API Gateway framework
1.Indepdendently developed a brand-new web application from scratch, which is currently used by global retail
store clients
2.In charge of both frontend and backend development, as well as creating data ingestion pipeline, architecture
design, performance optimization,CI/CD deployment, system monitoring through dashboard and alerts, etc
3.Communicated with cross-functional teams to get to know their user experience and technically improve it
JD.com
1.Engaged in the promise calculation system development to provide clients with accurate promise for their product
2.Implemented data ingestion pipelines to load data from a variety data sources, both periodically and in real time,
with 10 millions amount of data per minute
3.Optimized the data ingestion logic through a variety strategies, including SQL query optimization, multi-threading,
data caching, queues, rate limiting, etc
4.Containerized and deployed applications using Docker, managed deployment and scaling on JD Cloud platform
In charge of System architecture design and optimization, reducing API latency and improving user experience
Amazon
1.Provide regional shipping capability to Amazon third-party sellers
2.Enhance Seller Experience through shipping intelligence to automatically generate shipping settings for sellers
3.Collaborated with cross-functional teams to align backend integrations with production pipeline requirements as
well as integration testing
4.Enable first-time and regular customers to find new content using all Amazon Music clients
5.Migrate Data Aggregation APIs from server-side Javascript platform to Coral and AWS API Gateway framework
滢小白
全栈软件工程师 · 10年经验 · Apple
0
累计接单
0
用户评价
0
被收藏
信用行为
0
接单数
0
评价数
0
收藏数
技术能力
Languages:
C++/C, Python, Java, HTML & CSS, Javascript/Typescript, Swift, SQL
Frameworks/Libraries:
Spring/Spring-boot, Spring Security, REST API, AngularJS, Pytorch
Cloud/Databases:
Kubernetes, Docker, AWS, MySQL, NoSQL, Cassandra, PostgreSQL
Tools:
Splunk, Grafana, Git, Bash/Shell, MapReduce, CI/CD
Courses/Concepts:
Data Structures, Algorithms, OOP, Networking, Operating System, Database, Web development,
Cloud Computing, Parallel and Distributed Systems, Machine Learning, Agile, Scrum, Probability, Linear Programming
C++/C, Python, Java, HTML & CSS, Javascript/Typescript, Swift, SQL
Frameworks/Libraries:
Spring/Spring-boot, Spring Security, REST API, AngularJS, Pytorch
Cloud/Databases:
Kubernetes, Docker, AWS, MySQL, NoSQL, Cassandra, PostgreSQL
Tools:
Splunk, Grafana, Git, Bash/Shell, MapReduce, CI/CD
Courses/Concepts:
Data Structures, Algorithms, OOP, Networking, Operating System, Database, Web development,
Cloud Computing, Parallel and Distributed Systems, Machine Learning, Agile, Scrum, Probability, Linear Programming
项目经验
Apple
1.Indepdendently developed a brand-new web application from scratch, which is currently used by global retail
store clients
2.In charge of both frontend and backend development, as well as creating data ingestion pipeline, architecture
design, performance optimization,CI/CD deployment, system monitoring through dashboard and alerts, etc
3.Communicated with cross-functional teams to get to know their user experience and technically improve it
JD.com
1.Engaged in the promise calculation system development to provide clients with accurate promise for their product
2.Implemented data ingestion pipelines to load data from a variety data sources, both periodically and in real time,
with 10 millions amount of data per minute
3.Optimized the data ingestion logic through a variety strategies, including SQL query optimization, multi-threading,
data caching, queues, rate limiting, etc
4.Containerized and deployed applications using Docker, managed deployment and scaling on JD Cloud platform
In charge of System architecture design and optimization, reducing API latency and improving user experience
Amazon
1.Provide regional shipping capability to Amazon third-party sellers
2.Enhance Seller Experience through shipping intelligence to automatically generate shipping settings for sellers
3.Collaborated with cross-functional teams to align backend integrations with production pipeline requirements as
well as integration testing
4.Enable first-time and regular customers to find new content using all Amazon Music clients
5.Migrate Data Aggregation APIs from server-side Javascript platform to Coral and AWS API Gateway framework
1.Indepdendently developed a brand-new web application from scratch, which is currently used by global retail
store clients
2.In charge of both frontend and backend development, as well as creating data ingestion pipeline, architecture
design, performance optimization,CI/CD deployment, system monitoring through dashboard and alerts, etc
3.Communicated with cross-functional teams to get to know their user experience and technically improve it
JD.com
1.Engaged in the promise calculation system development to provide clients with accurate promise for their product
2.Implemented data ingestion pipelines to load data from a variety data sources, both periodically and in real time,
with 10 millions amount of data per minute
3.Optimized the data ingestion logic through a variety strategies, including SQL query optimization, multi-threading,
data caching, queues, rate limiting, etc
4.Containerized and deployed applications using Docker, managed deployment and scaling on JD Cloud platform
In charge of System architecture design and optimization, reducing API latency and improving user experience
Amazon
1.Provide regional shipping capability to Amazon third-party sellers
2.Enhance Seller Experience through shipping intelligence to automatically generate shipping settings for sellers
3.Collaborated with cross-functional teams to align backend integrations with production pipeline requirements as
well as integration testing
4.Enable first-time and regular customers to find new content using all Amazon Music clients
5.Migrate Data Aggregation APIs from server-side Javascript platform to Coral and AWS API Gateway framework
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