Lead Data Engineer

Sigmoid - (Goldman Sachs) Texas, USA

1. • Lead Senior Data Engineers, providing technical guidance and presenting outcomes to senior business stakeholders.
2. • Collaborated with BAs, Solution Designers, and delivery teams to build and deploy data models and ETL pipelines in Azure (ADF, Databricks, Spark SQL, PySpark).
3. • Interfaced with business users to clarify data migration logic and streamline requirements.
4. • Guided team workflow and ensured alignment with project goals.
5. • Used Spark SQL and PySpark in Databricks for data transformation and querying.
6. • Designed and implemented data ingestion, transformation, and orchestration workflows using the Snowflake cloud data platform.
7. • Built and maintained scalable, high-performance data warehouse solutions on Snowflake.
8. • Led the migration of data warehouse infrastructure from Sybase IQ to Snowflake.
9. • Integrated Snowflake with Alloy Query Browser to enable efficient report generation and analytics.
10. • Managed the loading and synchronization of live data from multiple sources into Snowflake for real-time access.
11. • Transferred models from Pure Data Browser to Alloy Legend Studio, enhancing analytics.
12. • Defined SDLC for Pure to Alloy migration, improving deployment efficiency.
13. • Architected scalable data solutions, including data lakes, warehouses, and APIs.
14. • Worked with cross-functional teams to deliver actionable insights and business-aligned solutions.
15. • Integrated data from multiple sources and adopted emerging tech for continuous improvement.

(JNTU University

Computer Science and Engineering