Meggna Karthikeyan

I am a data engineer and analyst with 5+ years of experience turning large-scale datasets into actionable insights that inform strategic decisions. I focus on building robust ETL/ELT pipelines, automating workflows, and delivering interactive BI dashboards for stakeholders across research and enterprise settings.

At Cognizant (Bayer) I migrated legacy datasets to BigQuery, implemented Row Level Security across 100+ GCP environments, and optimized pipelines to improve processing efficiency and observability. I engineered modular validation frameworks that achieved 95% accuracy and significantly reduced report turnaround times.

In academic and research roles I designed Python-based pipelines to process 1.5M+ gravitational wave records, built Power BI and Tableau visualizations, and developed models with 87% precision to detect missed events. I prioritize reproducibility, metadata management, and measurable KPI tracking to increase analysis speed and reliability.

I collaborate cross-functionally to align requirements, lead UAT cycles, and deliver solutions that improve forecast confidence and delivery consistency. I bring a practical, results-oriented approach to data quality, pipeline automation, and stakeholder communication to drive business impact.