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YNV Divya Supriya Lingamallu

@ynvdivyasupriyalinga

Senior data engineer specializing in IBM DataStage ETL, SQL optimization, and reliable data migrations.

India
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What I'm looking for

I’m looking for a Data Engineer/ETL role where I can build scalable IBM DataStage pipelines, optimize SQL for performance, automate batch scheduling, and ensure end-to-end data quality in enterprise environments.

I’m a results-driven Data Engineer with 6+ years of experience in ETL development, large-scale data migration, and enterprise data warehousing. I specialize in IBM InfoSphere DataStage and SQL, with a strong focus on performance, data quality, and reliable automation across banking and enterprise systems.

At Tata Consultancy Services (Bank of America), I designed and developed scalable ETL pipelines processing 10M+ records per batch. I improved ETL job performance by 30% through partition tuning and SQL optimization, and I built reusable DataStage components to reduce development time by 20%.

I’ve also migrated enterprise data from DB2 to Teradata and Hadoop with 100% data accuracy. In addition, I automated batch workflows using Autosys (reducing manual intervention by 40%) and performed data validation and reconciliation to ensure high data quality and compliance.

Earlier at Capgemini, I executed SIT and parallel testing improving data accuracy by 25%, validated batch data using SQL Server and MFES tools, and automated batch consolidation with PHP scripts. I also developed Oracle-to-SQL Server ETL workflows using ODI, optimized SQL queries to reduce execution time by 35%, and supported bulk ingestion using Oracle SQL Loader.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

KS

KKR & KSR Institute of Technology & Sciences

Bachelor of Technology, Electronics & Communication Engineering

Completed a B.Tech in Electronics & Communication Engineering at KKR & KSR Institute of Technology & Sciences in 2019.

Tech stack

Software and tools used professionally

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