Karpagapriya Dhanraj
I am a versatile data engineer with two years of experience specializing in Python, SQL, PySpark, and data warehousing solutions.
About
I am a versatile data engineer with two years of experience specializing in Python, SQL, PySpark, and data warehousing solutions. I have a strong background in designing and building efficient data pipelines using tools like Airflow, DBT, and cloud technologies such as AWS and GCP. My expertise includes migrating data warehouses to Snowflake, which significantly improved query performance and reduced costs.
I am passionate about leveraging cloud platforms and modern orchestration tools to optimize data processing workflows. I have hands-on experience in maintaining ETL pipelines, implementing data quality checks, and building APIs to power machine learning models. Continuously learning and adapting, I seek to contribute effectively in fast-paced technical environments and thrive on solving complex data problems.
- 2 years' experience
- Joined August 2025
Languages
- FrenchIntermediate
- EnglishAdvanced
Industry experience
- Software & Internet
- Financial Services
- Healthcare
- Education
- Travel & Hospitality
Work experience
Developed and maintained ETL pipelines using Python, SQL, and AWS Glue to extract, transform, and load data from APIs, increasing processing efficiency by 15% for 1 TB monthly data. Migrated and optimized data pipelines to AWS S3 and Snowflake, reducing infrastructure costs by 20% and boosting throughput by 25%, handling up to 1 TB daily. Implemented data quality checks and monitoring procedures which reduced data errors by 10%, ensuring data integrity for downstream analytics.
Developed data-driven front-end features using Angular to enhance user management and interaction with product data. Managed and maintained AWS instances to ensure availability of data-intensive application features.
Education
Certifications and awards
Hire Karpagapriya Dhanraj today
Post a job and invite Karpagapriya, or contact them directly. No hidden commission.




