
Senior Data, Reporting & AI Engineer with 18+ years of IT experience, including 10+ years in data engineering, business intelligence, and analytics. Adept at designing, building, and optimizing scalable data pipelines, data warehouses, data lakehouse, and reporting solutions using Databricks, Delta Lake, Python, PySpark, and Sisense. Experienced in implementing multi-tenant architectures, row-level security, and automating onboarding, tenant switching, and migration processes to enhance efficiency and scalability.
Versatile in BI and reporting tools, including Power BI, Tableau, and Amazon QuickSight, with the ability to quickly adapt to new platforms based on business requirements. Experienced across the full technology stack—from backend development to frontend applications and data delivery—integrating AI capabilities to strengthen problem-solving skills and tackle complex technical challenges end-to-end.
Hands-on with Agile methodologies, Scrum, and Kanban, delivering end-to-end solutions from data ingestion and transformation to actionable insights. Recognized for enabling data-driven decision-making, optimizing reporting workflows, modernizing legacy systems, and collaborating effectively with cross-functional teams to drive business outcomes.
Trained 120+ freshers across 3 batches on C#/.NET basics, OOP, and SQL; created lab exercises and weekly assessments.