Chandrashekaran Raghunathan

• Overseeing Development and DevOPS for a large-scale LLM assisted data pipeline product, supporting more than 1500+ users and enabling deployment of 2000+ BigQuery and Spark jobs annually on GCP
• Leading the development and deployment of AI/LLM-powered solutions, including a custom LLM based BigQuery optimizer and Claude-based agentic service, driving up to 50% in cost optimization and auto resolution for bugs
• Architecting and delivering cloud-native Spark and BQ pipelines CI/CD pipelines with API integrations with git and jira
• Building and scaling high-impact data and AI solutions, that includes a LangGraph based chatbot, and award-winning python tool for Hive-to-BigQuery conversion.

Highlights:

• Reduced cloud infrastructure costs by 50% through optimization of BigQuery SQLs using custom LLM (BQ Optimizer).
• Improved CI/CD deployment efficiency by 10 days, decreasing release time for Spark jobs on GCP.
• Resolved 50% errors automatically via Agentic service, reducing manual intervention.

• Designed, developed and deployed shell script based quality framework for more than 800 Big data jobs
• Designed and implemented a high-impact archival framework, clearing 100,000 and more critical files daily.
• Developed automation tools and data frameworks, including a UC4 Scheduler utility (1,000+ migrations) and a shell-based data quality system for BigQuery and Spark.
• Drove innovation and team capability by promoting Flask-based prototyping, winning an ML hackathon, and mentoring junior engineers.

• Led and delivered a Global Supply Chain Analytics Program, collaborating with European teams to drive data-driven decisions and improve operational efficiency.
• Developed a VB macro-based automation tool, generating and executing 2,000+ test cases and significantly enhancing testing productivity.
• Designed and implemented a multi-mode data ingestion pipeline, enabling seamless integration and processing of diverse supply chain data sources.
• Conducted advanced data analysis, resolved data quality issues, translated business needs into technical solutions, and mentored junior analysts.

• Designed and implemented Oracle-based ETL solutions for sales analytics, ensuring high data accuracy, integrity, and availability for business reporting.
• Developed VB macro tools for automated test data generation, enabling parallel front-end and back-end development and improving delivery efficiency.
• Analyzed business data and presented actionable insights to stakeholders, while collaborating cross-functionally and mentoring junior analysts to drive continuous improvement.