Rohan Ravichandran

About Rohan Ravichandran

I am a Data Engineer with 3+ years of experience building scalable, production-grade data systems that support analytics and machine-learning workflows. I have processed and transformed 10M+ records using Python and SQL, delivering reliable, analytics-ready datasets while managing multiple pipelines in parallel. I design and optimize automated ETL workflows, reducing manual reporting effort by 40% and ensuring consistent data availability across teams.I work closely with product, analytics, and engineering stakeholders to translate business requirements into scalable data solutions. By optimizing SQL and Snowflake workloads, I reduced query latency by 30–45% and compute costs by 20–25%, enabling faster decision-making at scale. I have also delivered executive-facing dashboards and supported churn and fraud detection initiatives, demonstrating ownership, prioritization, and the ability to balance delivery speed with long-term data quality.Proficient in Python, SQL, and Java, with hands-on experience building scalable data solutions using PySpark, AWS Redshift, and Azure Synapse on AWS and Azure, along with CI/CD pipelines and complex data integrations that support data-driven decisions.

Experience

1. Data Engineer

   Zekelman Industries

   Jun 2025 — Present · Chicago, IL, US

Education

• Central Michigan University

  Master of Science - MS, information systems

• Jawaharlal Nehru Technological University Hyderabad (JNTUH)

  Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering