Mo Ahmad

I’m Mo Ahmad, a Senior Data Solution Architect with over 10 years of experience designing and implementing enterprise level data solutions. I specialize in building and optimizing ETL pipelinesusing tools like Talend, Apache NiFi, Airflow, and Informatica, with a focus on performance, automation, and scalability. My cloud expertise spans AWS, Azure, and GCP, where I architect robust, cloud-native platforms tailored to diverse business needs.
My technical background includes deep proficiency in data warehousing (Star Schema, Snowflake, Data Vault), big data technologies (Hadoop, Spark, Kafka), and real-time streaming frameworks. I lead end-to-end data governance initiatives to ensure data quality, lineage, and regulatory compliance with HIPAA and GDPR. I also deploy machine learning models using Scikit-learn, TensorFlow, and PyTorch, leveraging platforms like Databricks to streamline ML workflows.
​In addition to backend architecture, I craft actionable data visualizations using Tableau, Power BI, and QuickSight to empower decision-making. I’m proficient in Docker, Kubernetes, and modern CI/CD pipelines, ensuring reliable, agile delivery of data solutions. My work spans high-impact industries, including finance and healthcare, where data innovation directly fuels operational excellence and strategic growth.