You will get Design and Deploy Apache Kafka Seamlessly
Top Rated
Project details
You will get a fully operative Apache Kafka service that seamlessly integrates with your system components and data streaming infrastructure. As a DevOps engineer with 10+ years of experience in the field, I have designed, set up, implemented, and maintained data streaming pipelines using Apache Kafka in numerous cases. I'll make sure that you receive a bespoke service cost-effectively.
I highly value clear communications, regular reports, and client satisfaction in my collaborations. Therefore, you can rest assured that with providing the necessary details and requirements, you'll receive a top-notch result provided by a team of experts.
I highly value clear communications, regular reports, and client satisfaction in my collaborations. Therefore, you can rest assured that with providing the necessary details and requirements, you'll receive a top-notch result provided by a team of experts.
What's included
| Service Tiers |
Starter
$150
|
Standard
$350
|
Advanced
$450
|
|---|---|---|---|
| Delivery Time | 4 days | 7 days | 12 days |
Number of Revisions | 1 | 3 | 5 |
Number of Tables Added | 0 | ||
Schema Diagram | - | ||
Permissions Setup | |||
Import/Export Data | |||
Admin Panel Setup | - | - |
Frequently asked questions
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About Sajad
DevOps Engineer | Cloud Expert | Data Engineer
94%
Job Success
Dubai, United Arab Emirates - 2:55 am local time
𝙆𝙚𝙮 𝙎𝙠𝙞𝙡𝙡𝙨:
𝗖𝗹𝗼𝘂𝗱 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀: AWS, Azure, GCP, Oracle Cloud, Cloudflare, Hetzner, DigitalOcean
𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗮𝘀 𝗖𝗼𝗱𝗲: Terraform, CloudFormation, Ansible
𝗖𝗜/𝗖𝗗: Jenkins, GitLab CI/CD, CircleCI
𝗖𝗼𝗻𝘁𝗮𝗶𝗻𝗲𝗿 𝗢𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻: Kubernetes, Docker Swarm, ECS
𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 𝗮𝗻𝗱 𝗔𝗹𝗲𝗿𝘁𝗶𝗻𝗴: Prometheus, Grafana, ELK Stack, Nagios
𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗮𝗻𝗱 𝗖𝗼𝗺𝗽𝗹𝗶𝗮𝗻𝗰𝗲: TLS/SSL, OAuth, PCI DSS, GDPR
𝗡𝗲𝘁𝘄𝗼𝗿𝗸𝗶𝗻𝗴: OpenVPN, IPsec, Cisco ASA
𝗩𝗶𝗿𝘁𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Proxmox, VMware, VirtualBox
𝗪𝗲𝗯 𝗦𝗲𝗿𝘃𝗲𝗿𝘀: Nginx, HAProxy, Apache HTTP Server
𝗗𝗶𝘀𝘁𝗿𝗶𝗯𝘂𝘁𝗲𝗱 𝗦𝘁𝗼𝗿𝗮𝗴𝗲: Ceph, GlusterFS, Amazon EFS
𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗣𝗿𝗼𝘁𝗼𝗰𝗼𝗹𝘀: WebSocket, MQTT, AMQP
𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁: PostgreSQL, MySQL, Oracle, MongoDB, Cassandra
𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲𝘀: SQL, Python, Java
𝗕𝗶𝗴 𝗗𝗮𝘁𝗮 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀: Hadoop, Spark, Kafka
𝗕𝗜 & 𝗗𝗮𝘁𝗮 𝗪𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗶𝗻𝗴: Azure Data Lake, Power BI, ClickHouse
𝗗𝗮𝘁𝗮 𝗚𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲: Implementing governance frameworks for data quality and compliance
𝙋𝙧𝙤𝙟𝙚𝙘𝙩 𝙃𝙞𝙜𝙝𝙡𝙞𝙜𝙝𝙩𝙨:
𝗪𝗘𝗣𝗔 𝗣𝗿𝗼𝗷𝗲𝗰𝘁: Orchestrated Azure cloud infrastructure setup, implemented robust data pipelines with Kibana, Flink, Kafka, and Power BI. Managed data aggregation from 13+ factory locations, enabling centralized processing and analysis.
𝗥𝗚𝗧𝗡 𝗣𝗿𝗼𝗷𝗲𝗰𝘁: Established comprehensive monitoring services, conducted infrastructure maintenance, and managed server upgrades across multiple environments. Utilized Prometheus, Grafana, MySQL, and Proxmox to optimize system performance and ensure high availability.
𝗗𝗶𝗴𝗶𝘁𝗮𝗹 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 𝗜𝗻𝗶𝘁𝗶𝗮𝘁𝗶𝘃𝗲𝘀: Led initiatives integrating DevOps and data engineering principles to streamline deployment processes and enhance data-driven decision-making capabilities. Implemented advanced analytics solutions and data lakes for optimized data processing and integration.
𝙒𝙤𝙧𝙠 𝘼𝙥𝙥𝙧𝙤𝙖𝙘𝙝:
Dedicated to delivering high-quality solutions aligned with client objectives, I excel in collaborative environments where I leverage my expertise to innovate and optimize infrastructure and data workflows. My proactive approach and commitment to continuous learning ensure I stay ahead in evolving technologies.
𝙇𝙚𝙩'𝙨 𝘾𝙤𝙣𝙣𝙚𝙘𝙩:
If you're looking for a seasoned professional who can optimize your infrastructure, streamline deployment and data processes, and ensure scalability and security across your projects, I'm eager to discuss how I can contribute to your organization’s success.
Steps for completing your project
After purchasing the project, send requirements so Sajad can start the project.
Delivery time starts when Sajad receives requirements from you.
Sajad works on your project following the steps below.
Revisions may occur after the delivery date.
Understand client's requirements and service structure
In this step we carefully write down client's requirements and note them for further implementations.
Start implementation
Based on client's requirements we begin implementing Kafka service. We make sure that it correctly connects to other services.