穆罕默德·阿尼斯·塔希尔,德国巴伐利亚州慕尼黑的开发商
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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

Location
慕尼黑,巴伐利亚,德国
至今成员总数
October 14, 2022

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

BT&M Investments LLC dba Qtego筹款服务
亚马逊网络服务(AWS)、Amazon EC2、Amazon RDS、AWS Elastic Beanstalk...
SimplyWise, Inc.
Kubernetes, Helm, Terraform, Amazon EKS, Django...
Presize GmbH
谷歌云平台(GCP), Azure, Kubernetes, CircleCI, CI/CD管道...

Experience

Availability

Part-time

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

2022 - 2023
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.
技术:亚马逊网络服务(AWS)、Amazon EC2、Amazon RDS、AWS Elastic Beanstalk, Datadog, Cloud Services, Bash, Unix, Linux管理, DevOps Engineer, Architecture, Containers, APIs, Load Testing, Firewalls, Shell Scripting, HAProxy, AWS ELB, 解决方案架构, CloudOps, AWS CLI, Monitoring

DevOps Engineer

2022 - 2022
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.
技术:Kubernetes, Helm, Terraform, Amazon EKS, Django, Amazon弹性容器服务(Amazon ECS), Datadog, Cloud Deployment, Flask, 持续交付(CD), AWS云架构, 云架构, 云基础设施, NGINX, Autoscaling, APM, DevOps Engineer, Architecture, ECS, Containers, APIs, Load Testing, Shell Scripting, HAProxy, AWS ELB, 解决方案架构, CloudOps, AWS CLI, Monitoring, 应用程序性能监控

DevOps Engineer

2020 - 2022
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).
Technologies: 谷歌云平台(GCP), Azure, Kubernetes, CircleCI, CI/CD管道, Docker, Terraform, GitHub, Kubernetes HPA, GitHub Actions, Linux, 亚马逊网络服务(AWS), Containerization, Visual Studio Code (VS Code), Elasticsearch, DevOps, Python, Amazon弹性容器服务(Amazon ECS), 集装箱编配, GitLab, Jenkins, 持续集成(CI), AWS Lambda, Amazon S3 (AWS S3), ELK(弹性堆叠), Azure DevOps, 基础设施即代码(IaC), Bitbucket, Agile, Agile Workflow, SQL, PostgreSQL, Amazon EKS, Azure Kubernetes服务(AKS), Amazon CloudWatch, Amazon EC2, 亚马逊API网关, Datadog, Sentry, AWS CodeCommit, AWS CodeDeploy, Elastic APM, Jira, Amazon RDS, AWS IAM, MacOS, Safari, AWS DevOps, Git, 亚马逊虚拟私有云(VPC), AWS CodePipeline, MySQL, Machine Learning, Helm, 站点可靠性工程(SRE), Kibana, Logstash, PySpark, Python 3, Amazon Route 53, Load Balancers, Amazon Simple Notification Service (Amazon SNS), SSL, Django, Cloud Deployment, Flask, Redis, 持续交付(CD), GitLab CI/CD, AWS云架构, 云架构, 云基础设施, RabbitMQ, Caching, NGINX, AWS Auto Scaling, Amazon EC2 API, Autoscaling, 自动定量组, APM, DevOps Engineer, Architecture, ECS, Containers, APIs, Load Testing, Firewalls, Shell Scripting, HAProxy, AWS ELB, IT Infrastructure, 解决方案架构, CloudOps, AWS CLI, Monitoring

ProServe (Intern)

2019 - 2020
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.
技术:DevOps, CI/CD Pipelines, Docker, GitHub, Linux, 亚马逊网络服务(AWS), Containerization, Visual Studio Code (VS Code), Python, Amazon弹性容器服务(Amazon ECS), 集装箱编配, 持续集成(CI), AWS Lambda, Amazon S3 (AWS S3), 基础设施即代码(IaC), Agile, Agile Workflow, SQL, Amazon EKS, Amazon CloudWatch, Amazon EC2, 亚马逊API网关, AWS CodeCommit, AWS CodeDeploy, Amazon RDS, AWS IAM, MacOS, Safari, AWS DevOps, Git, 亚马逊虚拟私有云(VPC), AWS CodePipeline, Python 3, Amazon Route 53, Load Balancers, Amazon Simple Notification Service (Amazon SNS), SSL, Cloud Deployment, Redis, 持续交付(CD), GitLab CI/CD, AWS云架构, 云架构, 云基础设施, RabbitMQ, Caching, NGINX, AWS Auto Scaling, Amazon EC2 API, Autoscaling, 自动定量组, APM, DevOps Engineer, Architecture, ECS, Containers, APIs, AWS ELB, IT Infrastructure, 解决方案架构, CloudOps, AWS CLI

跨学科项目(TUM)(实习生)

2019 - 2019
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.
技术:CircleCI, Kubernetes, CI/CD Pipelines, Docker, Terraform, GitHub, Linux, 亚马逊网络服务(AWS), Containerization, Visual Studio Code (VS Code), DevOps, 集装箱编配, 持续集成(CI), AWS Lambda, Amazon S3 (AWS S3), ELK(弹性堆叠), 基础设施即代码(IaC), Bitbucket, Agile, Agile Workflow, SQL, PostgreSQL, Amazon EKS, Amazon CloudWatch, Amazon EC2, 亚马逊API网关, Datadog, Sentry, AWS CodeCommit, AWS CodeDeploy, Elastic APM, Jira, Amazon RDS, AWS IAM, MacOS, Safari, AWS DevOps, Git, 亚马逊虚拟私有云(VPC), AWS CodePipeline, MySQL, 站点可靠性工程(SRE), Kibana, Python 3, Helm, Amazon Route 53, Load Balancers, Amazon Simple Notification Service (Amazon SNS), SSL, Cloud Deployment, Flask, Redis, 持续交付(CD), GitLab CI/CD, AWS云架构, 云架构, 云基础设施, RabbitMQ, Caching, NGINX, AWS Auto Scaling, Amazon EC2 API, Autoscaling, 自动定量组, APM, DevOps Engineer, Architecture, Containers, APIs, Load Testing, Firewalls, Shell Scripting, HAProxy, AWS ELB, IT Infrastructure, 解决方案架构, CloudOps, AWS CLI

Cloud Engineer

2017 - 2018
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.
技术:DevOps, AWS Lambda, CI/CD Pipelines, Docker, Terraform, GitHub, Linux, Big Data, 亚马逊网络服务(AWS), Containerization, Visual Studio Code (VS Code), Elasticsearch, Amazon弹性容器服务(Amazon ECS), 集装箱编配, GitLab, Jenkins, 持续集成(CI), Amazon S3 (AWS S3), ELK(弹性堆叠), 基础设施即代码(IaC), Bitbucket, Jenkins Pipeline, Agile, Agile Workflow, SQL, PostgreSQL, Amazon CloudWatch, Amazon EC2, 亚马逊API网关, AWS CodeCommit, AWS CodeDeploy, Elastic APM, Jira, Amazon RDS, AWS IAM, MacOS, Safari, AWS DevOps, Git, 亚马逊虚拟私有云(VPC), AWS CodePipeline, MySQL, Machine Learning, 站点可靠性工程(SRE), Kibana, Logstash, PySpark, Python 3, Amazon Route 53, Load Balancers, Amazon Simple Notification Service (Amazon SNS), SSL, Cloud Deployment, Flask, Redis, 持续交付(CD), GitLab CI/CD, AWS云架构, 云架构, 云基础设施, RabbitMQ, Caching, NGINX, AWS Auto Scaling, Autoscaling, 自动定量组, DevOps Engineer, Architecture, ECS, Containers, APIs, Load Testing, Firewalls, Shell Scripting, AWS ELB, IT Infrastructure, 解决方案架构, CloudOps, AWS CLI, Monitoring

Software Engineer

2016 - 2017
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%.
Technologies: ASP.NET, ASP.NET MVC, Sitecore, JavaScript, Ajax, Software Testing, Bitbucket, Jenkins Pipeline, Agile, Agile Workflow, SQL, Jira, MacOS, Safari, Git, MySQL, Python 3, Load Balancers, Cloud Deployment, 持续交付(CD), APIs

Presize AI

50%的时尚产品被退回. 其中75%是由于尺码不对和不合身. Fashion eCommerce shops lose money daily, and online shoppers are annoyed by returns.

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

An ETL pipeline used to aggregate the user conversion numbers from the daily usage data of the application.
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 configured and managed multiple Beanstalk environments to handle increased traffic and demand. I implemented auto-scaling policies to ensure optimal utilization of resources and cost-effectiveness.

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.
2018 - 2021

计算机科学硕士学位

慕尼黑工业大学-慕尼黑,德国

2012 - 2016

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

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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