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Schedule Interview NowMy name is Muhammad A. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: Data Engineering, Azure DevOps, Azure DevOps Server, AWS Systems Manager, AWS Development, etc.. I hold a degree in Bachelor's degree. Some of the notable projects I’ve worked on include: Goalplan - Performance Dashboards & Data Pipelines for KPIs, Dave - Fintech Cloud Infrastructure: Scalable & Reliable Deployments, Evisions - Data Automation & Reporting: Backend Workflow Optimization, AquaSec - Kubernetes & Cloud DevOps:Automated Deployments & Monitoring, Compliance & Security Automation Platform (AWS DevOps & Full Stack), etc.. I am based in Lahore, Pakistan. I've successfully completed 8 projects while developing at Softaims.
My expertise lies in deeply understanding and optimizing solution performance. I have a proven ability to profile systems, analyze data access methods, and implement caching strategies that dramatically reduce latency and improve responsiveness under load. I turn slow systems into high-speed performers.
I focus on writing highly efficient, clean, and well-documented code that minimizes resource consumption without sacrificing functionality. This dedication to efficiency is how I contribute measurable value to Softaims’ clients by reducing infrastructure costs and improving user satisfaction.
I approach every project with a critical eye for potential bottlenecks, proactively designing systems that are efficient from the ground up. I am committed to delivering software that sets the standard for speed and reliability.
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Systems Limited
At Goalplan, I built Azure-based data pipelines and performance dashboards to track KPIs and team progress. Automated data ingestion and ETL workflows using Python, integrated reporting for management visibility, and implemented DevOps practices to keep dashboards accurate and up-to-date. Focused on workflow automation, reliability, and efficiency, ensuring complex performance data was easy to interpret while reducing manual effort across teams.
At Dave, I managed cloud infrastructure for a high-traffic fintech platform, deploying and scaling services on AWS/Azure. I implemented CI/CD pipelines using Python and Terragrunt, automated environment provisioning, and optimized backend workflows for reliability and low latency. Built monitoring and alerting for system performance, ensured reproducible deployments, and streamlined ETL/data pipelines to handle large transaction volumes efficiently while maintaining security and compliance standards.
At Evisions, I worked on automating backend workflows and building data pipelines to make reporting and analytics more reliable and efficient. I used Python to process and transform data, integrated systems for smooth ETL operations, and set up dashboards that gave teams clear insights into performance. The focus was on making complex data tasks easy to manage, improving accuracy, and ensuring everything ran smoothly across the platform.
In AquaSec, I worked on ensuring that their Kubernetes-based security platform was made smooth and reliable. I established cloud infrastructure using AWS/Azure, automated deployments using Python and Terraform and designed working CI/CD pipelines. I have also included the monitoring and optimization to ensure that the system remains fast and reliable. The emphasis was on simplifying the complex security workloads and ensuring that everything efficient in clusters.
I contributed to Secureframe, a leading platform that helps companies achieve and maintain security and privacy compliance (SOC 2, ISO 27001, HIPAA, GDPR, etc.). My work focused on building and scaling secure, high performance cloud infrastructure on AWS while implementing DevOps best practices for CI/CD, monitoring, and automation. I optimized backend services, enhanced security workflows and ensured compliance-driven reliability for enterprise clients.
Bachelor's degree in Computer engineering
2014-01-01-2018-01-01