At Nagarro, I architect SQL-based anomaly detection across healthcare datasets, using rule-based and threshold-driven checks to strengthen data quality enforcement and governance monitoring.
I engineer Azure Databricks pipelines and optimize distributed PySpark transformations for analytics workloads. I also use Databricks Genie to automate anomaly query generation and root-cause analysis.
At Tredence Inc, I engineered an analytics solution for an FMCG client using ADLS, Azure Databricks, and ADF. I also led a migration from on-premises SQL Server to Snowflake, implementing data quality checks and SCD Type 2.
I optimized Power BI dashboards to reduce load time by 50% and improved Spark pipelines using PySpark and Spark SQL. In my Azure Medallion Data Pipeline project, I built bronze, silver, and gold layers and automated pipeline testing.
