ahmadkhanzada

Software/Data Engineer specialized in building automated data pipelines and cloud-native solutions. I excel at transforming complex data workflows into streamlined systems that drive business value. With deep expertise in Python (FastAPI) and orchestration tools, I’ve developed ETL pipelines and microservices that handled millions of events daily. In my recent projects I leveraged Kubernetes and Docker to containerize workflows and used serverless platforms (AWS Lambda, GCP Cloud Functions) to create event-driven data systems – resulting in a 50% reduction in data processing time for analytics reports.

I combine data engineering with DevOps best practices to deliver reliable, scalable results. I’ve led the charge in transitioning legacy processes to modern cloud architectures, implementing CI/CD pipelines and infrastructure-as-code to ensure fast, error-free deployments. My background spans FinTech and SaaS environments, where I’ve collaborated cross-functionally to deliver real-time dashboards and insights. I’m passionate about automation – from test automation for data quality to deployment automation – as it allows teams to focus on innovation. Now seeking to bring this impact to a growth-focused team. I thrive in remote-first and agile cultures and have experience collaborating across time zones. As a mid-to-senior individual contributor (with team leadership experience), I’m looking for an opportunity to build and optimize data platforms using modern tech stacks.