Shimonee Singh
@shimoneesingh
Data Engineer specializing in AWS/Databricks ETL pipelines, automation, and trustworthy BFSI analytics.
NepalWhat I'm looking for
I’m a results-driven Data Engineer with 2+ years of experience in data migration, pipeline automation, and big data processing across AWS and Databricks platforms. I build scalable ETL pipelines using Python, PySpark, and SQL to optimize data flow, protect data integrity, and accelerate decision-making for BFSI teams.
At Barclays, I delivered end-to-end data migration pipelines using AWS (S3, Glue, Lambda, Redshift) and Databricks, boosting processing speed by 60% and reducing recurring data errors by 40%. I also implemented automated data lakehouse and data validation frameworks integrated with Unity Catalog—cutting manual reporting efforts by 75%—while leading data governance, lineage tracking, and performance tuning in an Agile environment.
Experience
Work history, roles, and key accomplishments
Graduate Analyst (Data)
Barclays
Jul 2023 - Sep 2025 (2 years 2 months)
Designed and implemented end-to-end data migration pipelines on AWS and Databricks, enabling accurate transfers of critical financial data with minimal downtime. Built and optimized PySpark/SQL ETL frameworks that improved processing speed by 60% and reduced manual reporting effort by 75% while eliminating 40% of recurring data errors.
UI/UX Design Intern
Ikigai
Jan 2023 - Apr 2023 (3 months)
Analyzed user behavior to identify 10+ UX improvement opportunities, improving usability scores by 25% with data-driven insights. Streamlined design-to-development workflows, reducing rework by 30% and accelerating delivery cycles.
Education
Degrees, certifications, and relevant coursework
SRM Institute of Science and Technology
Bachelor of Technology in Computer Science and Engineering, Computer Science and Engineering
2019 - 2023
Earned a Bachelor of Technology in Computer Science and Engineering from SRM Institute of Science and Technology from 2019 to 2023.
Tech stack
Software and tools used professionally
Availability
Location
NepalAuthorized to work in
Job categories
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