Jigyansa Dhalsamant

Engineered and maintained scalable data pipelines using SQL and Python for analytics, reporting, and downstream apps, improving data accessibility, reliability, and operational efficiency. Led end-to-end migration from on-prem Teradata ETL (Data Stage) to Databricks and Snowflake, accelerating data modernization with automated validation, quality checks, and monitoring to ensure data integrity. Implemented data quality frameworks to ensure accuracy, completeness, and consistency, reducing errors across sources. Collaborated with business analysts, BI teams, and product owners to translate complex requirements into scalable solutions; managed data versioning, documentation, and deployment using Agile and CI/CD practices to speed releases and improve traceability.

Created interactive dashboards, reports, and KPI scorecards in Tableau and Power BI to support data-driven decisions and boost performance. Built automated data workflows in SSIS and designed efficient data models to speed up reporting and improve accuracy. Performed detailed SQL analysis in SSMS to ensure accurate data, validate business rules, and enhance report query speed. Set up data quality and governance standards, working with different teams to ensure smooth data integration and reliable company-wide reporting.