Nikhil Yadav

I am a Senior Data Engineer with over six years of experience building scalable ETL and ELT pipelines across cloud and on-prem environments. I specialize in Databricks, Snowflake, PySpark, dbt, and orchestration with Airflow to deliver reliable data platforms.

I've led large migrations and built Lakehouse architectures, migrating enterprise data warehouses from Teradata to Snowflake while ensuring zero data loss and minimal downtime. I have implemented CI/CD for DAGs and ETL workflows, improved pipeline throughput, and reduced execution times through performance tuning and parallelization.

My hands-on work spans Azure, AWS, and GCP — designing data models, data marts, and dimensional schemas and integrating RDBMS and NoSQL sources for analytics and ML feature generation. I have strong experience in SQL tuning, SnowSQL, data governance, and implementing RBAC and security controls for production systems.

I collaborate closely with data scientists, analysts, and business stakeholders to translate requirements into robust pipelines, observability, and self-service BI solutions using Power BI, Tableau, and Databricks SQL. I focus on maintainability, automated testing, and operational monitoring to ensure data quality and timely delivery.