Mahnoor Shahid

I am a highly motivated Data Engineer with over 4 years of experience in building and maintaining robust data pipelines, cloud data platforms, and scalable ETL/ELT processes. I have hands-on expertise in Python, SQL, PySpark, Airflow, dbt, and various cloud ecosystems including AWS, Azure, and GCP.

I specialize in designing data architectures that ensure high quality, security, and governance of large-scale datasets, while enabling fast and reliable access to actionable insights. My experience spans working with structured and unstructured data, integrating APIs, building data lakes and warehouses, and developing automation solutions for real-time and batch processing.

Beyond technical skills, I have a proven track record of collaborating with cross-functional teams, understanding business requirements, and translating them into scalable data solutions. I am passionate about maintaining code quality, optimizing performance, and implementing best practices in data engineering workflows.

I thrive in dynamic, fast-paced environments where I can contribute to strategic data initiatives, solve complex technical challenges, and continuously learn emerging technologies. I am particularly excited about opportunities that allow me to leverage cloud-native architectures, distributed computing frameworks, and modern ETL orchestration tools to drive business impact.