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Nidhi Yadav

@nidhiyadav

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I am a Senior Data Engineer specializing in Redshift migrations and data modernization.

India

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What I'm looking for

I seek a challenging data engineering role focused on cloud migrations, Redshift/Databricks ownership, ETL reliability, and opportunities to optimize platforms while growing technical leadership in a collaborative environment.

I am a results-driven Senior Data Engineer with extensive experience migrating and modernizing large-scale data platforms, including Redshift, RDS/Aurora, and S3-based pipelines. I have led cluster upgrades, query optimizations, and end-to-end ETL conversions such as MARSHA to ACRS and s3-s3 and edb to aurora migrations, while owning Redshift stability, permissions, and ad-hoc operational requests.

I build and maintain orchestration and conversion code, develop SQL and PySpark solutions, and implement access-management and data-refresh processes. I bring a practical, hands-on approach to data modeling, performance tuning, and cross-team delivery, and I seek roles where I can drive cloud data platform reliability and efficiency.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

Marriott International

Nov 2023 - Present (1 year 9 months)

Led migration and conversion of large-volume data from MARSHA to ACRS and EDB to Aurora, developing orchestrator workflows and SQL scripts to execute s3-s3 and EDB→Aurora refreshes.

AWS S3 Aurora SQL Data Migration Orchestration ETL Data Conversion Amazon RDS

Data Engineer II

Amazon India

Aug 2022 - Jun 2023 (10 months)

Migrated Redshift and RDS clusters between Airflow orchestrator versions, implemented access management via data groups, cleaned Redshift by removing large scratch tables, and exported system tables to S3 to support analytics.

Amazon Redshift Amazon RDS Airflow SQL AWS S3 Access Management Pyspark Data Modeling

Data Engineer II

Poshmark

Oct 2019 - Aug 2022 (2 years 10 months)

Owned Amazon Redshift operations, planned and executed production cluster upgrades and rollbacks, optimized queries to improve performance, and implemented CCPA-related ETL changes with successful testing and deployment.