Manu Puthia

I am a Data Engineering Manager / Principal Engineer passionate about building scalable cloud data platforms, streamlining processes, and helping teams work smarter. Over the years, I have led initiatives that improved PR and testing workflows (cutting QA defects by 70%), migrated large-scale platforms to Apache Spark 3 on AWS EMR (15% performance boost), and delivered SLA enhancements that saved over 500 staff hours and reduced infrastructure costs. My expertise spans data platforms & big data (Apache Spark – PySpark, Scala; Snowflake; Hive; Redshift), cloud (AWS EMR, Glue, Athena, DynamoDB, S3, Step Functions, CloudWatch, CDK), workflow & CI/CD (Airflow, Jenkins, Git, Bitbucket), and programming (Python, Shell scripting). I also bring a strong foundation in data lakehouse design, ETL/ELT pipelines, data quality, governance, and SLA management. Alongside technical depth, I thrive in stakeholder communication, roadmap planning (long- and short-term), mentorship, and Agile/Scrum leadership. I enjoy leading high-performing teams, ensuring delivery of complex projects while maintaining balance and collaboration. For me, success is about combining technical architecture with clear strategy and strong leadership — whether I am architecting pipelines that process terabytes of data or aligning multiple teams toward a shared goal.