穆罕默德·阿尼斯·塔希尔
Verified Expert in Engineering
DevOps工程师和软件开发人员
Anees is a confident DevOps software engineer and certified AWS developer associate with over seven years of experience in software development. 精通谷歌云平台(GCP)、AWS、Azure. 他已经部署了来自不同领域的应用程序, 比如数据工程, 机器学习(ML), 推荐引擎. Anees has a proven ability to develop ETL applications on AWS and build CI/CD pipelines for ML platforms (including observability and scalability of systems).
Portfolio
Experience
Availability
首选的环境
亚马逊网络服务(AWS), 谷歌云平台(GCP), 站点可靠性工程(SRE)
The most amazing...
...我作为唯一的DevOps工程师参与过的应用程序是Presize, 到2020年,哪家公司的用户规模将达到200多万.
Work Experience
AWS Expert
BT&M Investments LLC dba Qtego筹款服务
- Configured and managed multiple Beanstalk environments to handle increased traffic and demand. Implemented auto-scaling policies to ensure optimal utilization of resources and cost-effectiveness.
- Implemented multi-region deployment strategies to ensure high availability and disaster recovery capabilities. Configured and maintained failover mechanisms to seamlessly switch to a secondary region in case of a failure.
- Established database replication strategies to ensure high availability and minimal downtime during maintenance and upgrades. Monitored and troubleshot database replication issues and made necessary adjustments to improve reliability.
- Integrated Datadog with the infrastructure to monitor and track the key performance metrics of the system. 分析容器指标并确定性能瓶颈.
- Collaborated with the development team to resolve technical challenges and improve the system's performance. Regularly monitored and analyzed the system's performance and made adjustments to ensure optimal operation.
- Tested and validated the disaster recovery plan regularly to ensure its effectiveness. 分析和评估现有基础设施的潜在风险和故障.
DevOps Engineer
SimplyWise, Inc.
- 修正了Datadog的应用程序性能监控问题.
- Set up an NGINX Ingress controller deployment to handle around 25,000 requests a day.
- 为部署在Kubernetes上的微服务开发后端扩展.
DevOps Engineer
Presize GmbH
- 主导规模核心服务的系统和架构设计.
- Set up infrastructure automation using Terraform and scaled 30+ microservices using Kubernetes.
- 为CI/CD管道构建无缝的自动构建脚本. 跨所有环境的发布管理.
- Built an internal tool for billing (based on ELK(弹性堆叠), Kafka, and PySpark). 销售团队将其用于100,000美元MRR账单,并将账单工作量减少到70%.
- 托管服务器、应用程序、云服务和容器编排引擎. 节省了35万美元的云成本.
- 确保高启动时间为我们的系统和低响应时间. Maintained 99.99%的正常运行时间作为服务水平协议(SLA).
ProServe (Intern)
亚马逊网络服务(AWS)
- 开发可重用的技术构件来帮助DevOps顾问.
- Deployed natural language processing (NLP) based search engine for better text-based searches.
- 设置内部入职工具的可伸缩部署.
跨学科项目(TUM)(实习生)
Presize GmbH
- Developed cloud architecture and application design for deep learning-based solutions.
- 开发用于机器学习和web微服务的CI/CD管道.
- 由GCP和AWS解决方案架构师进行的领先架构审查.
Cloud Engineer
NorthBay解决方案
- 为面向数据的企业构建概念验证.
- 与AWS解决方案架构师和客户合作.
- 为大数据项目创建和维护架构文档.
- 负责大数据、数据湖、物联网和数据摄取项目的DevOps.
Software Engineer
Systems limited
- Successfully delivered an eCommerce application for a leading store with 10,000 active monthly users.
- 在上线前的一周时间内,将bug积压减少了90%.
- Improved the application performance by introducing caching for searched products by 40%.
Experience
Presize AI
Presize allows web shoppers to turn around in front of their smartphone camera once with normal clothes and automatically get their best-fitting clothing size recommended.
PySpark数据管道
The pipeline had three major parts: data extraction from ElasticSearch in the form of CSV files, 使用Logstash将每日数据提取到CSV中, 并存储在S3桶中.
The second part was performing aggregations on hundreds of GBs of data to extract the numbers for the finance team.
The third and final part of the pipeline was pushing the aggregated numbers to ElasticSearch to show them in Kibana dashboards.
I completed this project from inception to completion while designing the infrastructure architecture, which included the scalable deployment of ElasticSearch on Kubernetes clusters while ensuring the system's security and scalability.
拍卖应用程序扩展和复制
I implemented multi-region deployment strategies to ensure high availability and disaster recovery capabilities. I configured and maintained failover mechanisms to switch to a secondary region in case of a failure.
I established database replication strategies to ensure high availability and minimal downtime during maintenance and upgrades. I also monitored and troubleshot database replication issues and made necessary adjustments to improve reliability.
I integrated Datadog with the infrastructure to monitor and track the key performance metrics of the system and analyzed the container metrics. 我确定了性能瓶颈.
I then collaborated with the development team to resolve technical challenges and improve the system's performance. I regularly monitored and analyzed the system's performance and made adjustments to ensure optimal operation.
我对灾难恢复计划进行了测试和验证,以确保其有效性. Finally, I analyzed and evaluated the existing infrastructure for potential risks and failures.
Education
计算机科学硕士学位
慕尼黑工业大学-慕尼黑,德国
计算机科学学士学位
巴基斯坦拉合尔国立计算机与新兴科学大学
Skills
Libraries/APIs
Amazon EC2 API, Jenkins Pipeline, PySpark
Tools
CircleCI, Terraform, GitHub, Amazon弹性容器服务(Amazon ECS), ELK(弹性堆叠), AWS CodeCommit, AWS CodeDeploy, Jira, AWS IAM, Git, GitLab CI/CD, NGINX, AWS ELB, CloudOps, AWS CLI, GitLab, Jenkins, Bitbucket, Amazon EKS, Amazon CloudWatch, Sentry, 亚马逊虚拟私有云(VPC), Helm, Amazon Simple Notification Service (Amazon SNS), RabbitMQ, Azure Kubernetes服务(AKS), Logstash, Kibana
Frameworks
Flask, Django, ASP.NET, ASP.NET MVC
Paradigms
DevOps, 持续集成(CI), Agile, Agile Workflow, 持续交付(CD), Load Testing, Software Testing, Azure DevOps
Languages
Python, JavaScript, SQL, Python 3, Bash
Platforms
MacOS, Safari, 亚马逊网络服务(AWS), Docker, Kubernetes, 谷歌云平台(GCP), Linux, Amazon EC2, Visual Studio Code (VS Code), AWS Lambda, Azure, AWS Elastic Beanstalk, Unix, Apache Kafka
Storage
Amazon S3 (AWS S3), Datadog, Cloud Deployment, Elasticsearch, MySQL, Redis, PostgreSQL
Other
Containerization, 软件工程, Operating Systems, Cloud Computing, 分布式系统, CI/CD Pipelines, 集装箱编配, GitHub Actions, 基础设施即代码(IaC), Elastic APM, Amazon RDS, AWS DevOps, 站点可靠性工程(SRE), Amazon Route 53, Load Balancers, AWS云架构, 云架构, 云基础设施, AWS Auto Scaling, Autoscaling, APM, DevOps Engineer, Architecture, ECS, Containers, APIs, Shell Scripting, Kubernetes HPA, 亚马逊API网关, AWS CodePipeline, SSL, Caching, 自动定量组, Firewalls, HAProxy, IT Infrastructure, 解决方案架构, Monitoring, Data Structures, Big Data, Sitecore, Ajax, Machine Learning, Cloud Services, Linux管理, 应用程序性能监控
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