Aakash Nand

Background

About Aakash Nand

Thank you for visiting my profile! I am a Senior Data Engineer with a strong background in designing and implementing scalable data platforms, combined with hands-on experience delivering machine learning and analytics solutions in production environments. Over my career, I have led initiatives across the full data lifecycle from data ingestion and transformation pipelines to the development and deployment of predictive models that drive measurable business impact. My technical expertise and bilingual proficiency have enabled me to bridge cross-functional teams, foster innovation, and deliver data-driven products in fast-paced, multicultural settings. To deepen my knowledge and stay at the forefront of AI advancements, I am currently pursuing graduate coursework in Artificial Intelligence at The University of Texas at Austin, further strengthening my capabilities in deep learning, MLOps, and advanced machine learning techniques. Technology Stack I have worked with: Python, Databricks, Data Lake, Spark, Docker, Kubernetes, Trino (PrestoSQL), Java, SQL, AWS, Snowflake, dbt, AWS Value I Bring- Proven ability to design end-to-end data and ML solutions, from pipelines to model deployment - Deep expertise in modern data architectures and their business applications - Strong foundation in applied machine learning and data analytics - Commitment to best practices in engineering and continuous Kaizen mindset - Effective documentation, mentoring, and cross-cultural communication skills In addition to my professional work, I have contribute to open-source projects, including Trino, Apache Ranger, Apache Superset, and Apache Airflow, and I am passionate about leveraging data and AI to solve real-world challenges.