Sejal Agarwal
Data Engineer with 3+ years of experience designing, building, and maintaining scalable data solutions in the financial domain
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About
Data Engineer with 3+ years of experience designing, building, and maintaining scalable data solutions in the financial domain. Skilled in SQL, Snowflake and ETL development, with hands-on experience building and optimizing data pipelines, ensuring data quality and performance tuning across analytics platforms.
Experience
Senior Associate Developer - Stratacent India Pvt. Ltd.
(2022-12 - 2026-02)
Role Focus: Snowflake development, SQL optimization, ETL integration, data pipelines, production support.
Senior Associate Developer - Stratacent India Pvt. Ltd.
(2024-07 - 2026-02)
Customer Data Reporting
- Designed and enhanced data processes supporting global financial reporting and analytics use cases.
- Monitored, debugged, and optimized ETL workflows, improving data accuracy, availability and operational resilience.
- Provided L2 production support for critical batch data pipelines, resolving failures, improving system uptime, and ensuring reliable data availability for business-critical analytics.
- Optimized SQL queries and ETL workloads using indexing and query tuning techniques, improving performance and scalability.
- Developed and maintained technical documentation including data flow diagrams, transformation logic, and design artifacts aligned to audit and governance standards.
Senior Associate Developer - Stratacent India Pvt. Ltd.
(2022-12 - 2024-06)
Client Distribution Data
- Migrated five Compensation Reports from an on-prem Oracle database to AWS S3 cloud storage, enabling cloud-based analytics, improving data accessibility and reliable reporting for 100+ users.
- Developed database objects on Snowflake used for monthly reporting, ensuring consistent and reliable reporting.
- Implemented automated backend solutions for data refresh and archival using stored procedures and job scheduling, reducing manual dependencies.
- Built and maintained Airflow-orchestrated ETL pipelines on AWS S3, supporting batch processing, data retention, and governance needs.
- Reduced manual effort by 60% through ETL automation, improving data availability and operational efficiency.
Education
Bachelor of Engineering - Computer - Savitribai Phule Pune University (2018 - 2022)
HSC - Maharashtra State Board (2018 - 2018)
SSC - Maharashtra State Board (2016 - 2016)
