Versha Kumari
@vershakumari
Results-driven Data Engineer with expertise in cloud-native data pipelines.
IndiaWhat I'm looking for
I am a results-driven Data Engineer with 4 years of experience in building scalable, cloud-native data pipelines on AWS and Azure. My proficiency in Python, SQL, and Big Data frameworks such as Spark and EMR allows me to design efficient ETL workflows, optimize performance, and ensure data quality. I have a proven ability to collaborate across teams, solve complex problems, and deliver reliable, high-performance data solutions.
At Puresoftware, I developed PySpark and SQL scripts that automated validation processes, reducing turnaround time by 80%. I designed and implemented scalable ETL pipelines using AWS EMR and PySpark to process large-scale datasets, and built serverless ingestion pipelines with AWS Lambda, significantly increasing pipeline reliability. Currently, at Circle K Business Centre, I am implementing Azure data storage solutions and have improved analytical productivity by 60% through clean, testable data delivery.
Experience
Work history, roles, and key accomplishments
Data Engineer
Circle K Business Centre
Oct 2024 - Present (10 months)
Implemented Azure data storage solutions with expertise in Azure Data Lake Storage, Azure Blob Storage, and Azure Files. Designed and built processes for complex calculations and data loading using Databricks, PySpark, SQL, and Python.
Data Engineer
Puresoftware | Client: Prudential PLC
Jul 2021 - Oct 2024 (3 years 3 months)
Developed PySpark and SQL scripts to automate validation of ledger files, reducing turnaround time by 80%. Designed and implemented scalable ETL pipelines using AWS EMR and PySpark to process large-scale structured and semi-structured datasets from APIs, flat files, and cloud storage formats (CSV, JSON, Parquet).
Education
Degrees, certifications, and relevant coursework
J.C Bose University, YMCA
Master of Computer Application, Computer Application
2018 - 2021
Grade: 8.35
Designed and implemented an end-to-end data engineering pipeline using Apache Kafka, Spark, Airflow, and Python, covering ingestion, processing, and storage; containerized with Docker for scalable deployment.
Kalindi College, University of Delhi
B.A(Mathematics), Mathematics
2015 - 2018
Grade: 7.92
Studied the fundamentals of mathematics, including calculus, algebra, and statistics. Developed strong analytical and problem-solving skills.
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
Job categories
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