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Sai Gireeshmaa MulaSM
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Sai Gireeshmaa Mula

@saigireeshmaamula

Senior data engineering software engineer building scalable ETL/ELT and lakehouse platforms on Azure.

Canada
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What I'm looking for

I’m looking for a team where I can build governed Azure lakehouse and ETL/ELT pipelines with strong CI/CD, optimize SQL performance, and collaborate in Agile to deliver analytics they can trust.

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

Yash Technologies logoYT

Senior Software Engineer (Data)

Nov 2023 - Apr 2026 (2 years 5 months)

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%.

Education

Degrees, certifications, and relevant coursework

JE

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

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