Sudhir Saxena is an accomplished AWS Data Engineer with more than 15 years of experience in building, optimizing, and modernizing enterprise-grade data platforms. His career has spanned a wide range of industries, including transportation, finance, insurance, and real estate, where he has played pivotal roles in driving cloud data strategies and delivering scalable, secure, and performance-driven data solutions.
He specializes in designing end-to-end data pipelines and has a deep command of AWS technologies such as Glue, Redshift, Lambda, EMR, Athena, and Lake Formation. His technical toolkit also includes PySpark, Apache Hudi, and Python, enabling him to build high-performance ETL frameworks and implement Change Data Capture (CDC) logic to handle large volumes of structured and semi-structured data efficiently. Sudhir has led critical migration projects, successfully transitioning on-premise platforms like Teradata and Hadoop to cloud-native architectures on AWS and Google Cloud Platform (GCP).
Throughout his career, Sudhir has taken on leadership roles that involved guiding cross-functional teams, reviewing high-level architecture designs, and ensuring the alignment of technical implementations with organizational goals. He has built and deployed CI/CD pipelines using tools like AWS CodePipeline, Bitbucket, Terraform, and GitHub, reducing manual intervention and improving deployment reliability. His projects often included implementing orchestration with Step Functions and monitoring with CloudWatch and Datadog to ensure operational excellence.
Sudhir is certified in multiple AWS domains, including as an AWS Certified Data Engineer, Solutions Architect, Machine Learning – Specialty, and Cloud Practitioner. These credentials underscore his depth in cloud infrastructure, data architecture, and machine learning integrations.
He holds a Master of Computer Applications (MCA) degree from the College of Engineering Guindy, Anna University, Chennai, India. With a strong foundation in data engineering and cloud computing, Sudhir continues to drive impactful solutions that enable organizations to unlock the full potential of their data.