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srushtigaikwad3

Srushti Gaikwad

@srushtigaikwad3

Data Engineer, Analyst

India
Inglés, Maratí, Hindi
Parte de la información aparece en idioma inglés.
Sobre mí
Data Analyst (Deputy Manager) with about 2 years of experience in regulatory reporting and data automation in the banking domain. Skilled in SQL Server, BigQuery, and Azure Data Factory, with experience in developing complex logic, query optimization, and ETL monitoring. Worked on Fintellix application management, database housekeeping, and data quality rule implementation. Contributed to migration of application backend from Azure to GCP, gaining exposure to cloud data systems and production environments.... Lee más

Habilidades

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srushtigaikwad3
Srushti Gaikwad
desconectado • 
Tiempo medio de respuesta: 1 hora

Revisa mis servicios

Diseño y optimización
I will design a professional database schema, architecture and er diagram
DeUSD 10 / proyectoMás información

Experiencia laboral

RBL_Bank

Data Analyst (Deputy Manager)

RBL Bank • Tiempo completo

Jun 2024 - Apr 2026 • 1 yr 10 mos

• Led the migration of a regulatory reporting application backend from Azure to GCP. Coordinated with internal teams and the Fintellix vendor. Worked hands-on with SQL Server, BigQuery, and Azure Data Factory for data movement and validation. • Developed complex SQL/BigQuery logic to automate monthly regulatory reports, improving efficiency and reducing manual intervention. • Performed database housekeeping and performance improvement activities. Included data cleanup, table optimization,data categorization,and query tuning using Advanced SQL. Ensured smooth functioning of the production environment. • Managed the MGMS OEM application, including creation and modification of report templates and user/access management. • Provided application support, including monthly patching activities and coordination with the vendor to resolve end-user issues and ensure smooth system functioning. • Monitored monthly ETL processes for regulatory reporting using Azure Data Factory. Performed housekeeping of redundant pipelines and carried out back-tracing to identify and resolve failures. • Designed and implemented data quality (exception) rules using SQL and BigQuery. Identified data inconsistencies and collaborated with operational teams to drive timely corrections and improve data accuracy.