Ayushi Garg
Data Migration Analyst
About
Data Migration Analyst with 5+ years of experience in legacy-to-modern platform migrations, data reconciliation, and ETL-driven data transformation within the banking and financial services domain. Proven track record of leading data migration from legacy SQL-based core banking systems to AWS cloud-native databases, driving $1.7M+ in annual cost savings. Skilled in SQL, PySpark, Snowflake, and Power BI for building reconciliation dashboards, managing defect/exception logs, and ensuring data quality across migration lifecycles. Adept at stakeholder coordination, requirements traceability, and producing actionable insights from large datasets to support cutover activities and governance readiness.
Skills & Expertise (28)
Work Experience
Assistant Manager Data Analyst
GENPACT
May 2023 - Present
Led data migration from legacy SQL-based core banking systems to modern AWS cloud-native databases, leveraging PySpark, SQL, and Snowflake to execute complex data mapping, reconciliation, and test data management within microservices environments, driving $1.7M+ in annual cost savings. Accelerated business growth by 30% via moving SLA’s ahead in time by implementing the efficient technology automation, testing and streamlining of the production processes. Spearheaded project releases ahead of schedule while analyzing business requirements, exercising stakeholder management, ensuring requirements traceability, and applying strong analytical skills through proactive communication with onshore business during US business hours. Managed comprehensive defect and exception logs for data migration activities, applying high attention to detail to track root causes and ensure timely closure of data blockers. Designed and maintained Power BI reconciliation dashboards comparing source vs. target data for core banking migrations, enabling real-time visibility into balance tie-outs, record count variances, and exception trends across mock runs and cutover activities.
Software Engineer
mFilterIt
Mar 2021 - Apr 2023
Transformed data into actionable business insights by using data cleaning, transformation, and analysis (ETL) techniques for accuracy and consistency in business reports. Accelerated business growth by 40% by Optimizing system for the advertisers and revenue for the publishers in their digital marketing, Ensuring the processing of high-quality ad impression. Identified sources of undesirable traffic in digital marketing and continuously evolving in order to prevent ad fraud from the ad network though accumulating data from diverse sources.
Education
BTech in Electrical Engineering (Specialization: Computer Science) - Dayalbagh Educational Institute
2017 - 2021 · Afghanistan
Research Intern - Deep Learning AI (Convolutional Neural Networks) - IIT Hyderabad
- 2019 · Afghanistan
Certifications
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Skills (28)
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