Sai Gireeshmaa Mula
@saigireeshmaamula
Senior data engineering software engineer building scalable ETL/ELT and lakehouse platforms on Azure.
What I'm looking for
I’m a Senior Software Engineer focused on Data Engineering, with 5+ years designing and optimizing ETL/ELT solutions across Azure. I build reliable data platforms using Azure Data Factory, Microsoft Fabric, Azure Synapse, Databricks, and PySpark, with a strong emphasis on performance and maintainability.
At Yash Technologies, I designed metadata-driven ADF/Synapse/Fabric pipelines for SAP, REST API, and SFTP ingestion into ADLS. I parameterized reusable pipelines, reducing duplicated development by 40%, and improved ETL performance by 30% by developing PySpark and Spark SQL notebooks in Databricks/Fabric.
I’m also hands-on with governance and delivery excellence: I automated Azure Purview scans using Logic Apps to eliminate manual governance activities, and I implemented CI/CD using Azure DevOps across Development, UAT, and Production environments. I optimize SQL queries and stored procedures to improve report execution by 35%, and I model data with Star Schema and SCD Type2 for historical tracking.
Previously at Tata Consultancy Services (TCS), I built ETL/ELT pipelines using ADF, Databricks, SQL, and Azure Synapse, integrated SAP and enterprise data into Azure Data Lake, and reduced execution time by 35% through SQL optimization and indexing strategies. I resolved production incidents and data discrepancies while maintaining 99.9% pipeline reliability, and I translate requirements into scalable solutions by partnering with Product Owners, QA, Business Analysts, and stakeholders.
Experience
Work history, roles, and key accomplishments
Designed metadata-driven Azure Data Factory, Synapse, and Microsoft Fabric pipelines for SAP, REST API, and SFTP ingestion into ADLS. Built reusable parameterized pipelines (reduced duplicated development by 40%), improved ETL performance by 30% with PySpark/Spark SQL, and optimized SQL/stored procedures to improve report execution by 35%.
Built ETL/ELT pipelines using Azure Data Factory, Databricks, SQL, and Azure Synapse for enterprise data integration. Integrated SAP, DataMall, and EDL into Azure Data Lake, optimized SQL/indexing to reduce execution time by 35%, and maintained 99.9% pipeline reliability while supporting UAT and production deployments.
Education
Degrees, certifications, and relevant coursework
JNTUA College of Engineering
Bachelor of Technology (B.Tech)
2016 - 2020
Grade: 8.1/10
Earned a Bachelor of Technology (B.Tech) from JNTUA College of Engineering between 2016 and 2020.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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