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Shraddha Shetty

@shraddhashetty2

Data Engineer at Infosys Limited who reduced ETL runtime by 40% with an optimized PySpark pipeline and built production HDFS pipelines.

India
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At Infosys Limited, I built and maintained production HDFS pipelines across Bronze, Silver, and Gold Medallion layers, standardizing ingestion, transformation, and aggregation across the enterprise Data Lake.

On the GST - MIS Migration & Data Engineering project, I reduced ETL execution time by about 40% by consolidating legacy MySQL stored-procedure jobs into an optimized PySpark pipeline on Hive and the Data Lake.

I also built Power BI dashboards while migrating business logic from legacy JasperSoft reports, and used SQL and HiveQL to deliver dashboard-ready datasets for enterprise stakeholders.

Earlier, on the Apple Inc. - Production/Application Analyst project, I resolved recurring data integration and performance issues and automated SQL checks with Unix shell scripts. I supported high-priority incident response while maintaining 98%+ SLA compliance.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

SM

Sahyadri College of Engineering and Management

Bachelor of Engineering, Computer Science

2018 - 2022

Grade: 9.02/10 CGPA

Bachelor of Engineering in Computer Science from Sahyadri College of Engineering and Management, affiliated with VTU, with a CGPA of 9.02/10.

IL

Infosys Limited

PL-300 – Microsoft Power BI Data Analyst, Data Analytics

Certified as a Microsoft Power BI Data Analyst (PL-300) through Infosys.

IL

Infosys Limited

Infosys Certified Database & SQL Professional, Database Management

Certified as a Database and SQL Professional through Infosys.

GC

Google Cloud

Gemini Enterprise Agent Development, Artificial Intelligence

Certified in Gemini Enterprise Agent Development through Google Cloud Partner program.

IL

Infosys Limited

Generative AI Professional Foundation, Artificial Intelligence

Certified as a Generative AI Professional Foundation through Infosys.

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