# Aparna J.

> Engineer

Location: New York, New York, United States
Profile: https://flows.cv/aparnaj

Experienced Software/Data Engineer with a demonstrated history of working in a customer facing Data Science/Engineering Team to scale and build ETL data pipelines from scratch. Contribute to the improvement of tools and services critical to the success of the business.

Languages and Tools/Frameworks:
Python, AWS(EC2, EMR, IAM, S3), Snowflake, Spark, JIRA, Confluence, Data Pipelining, Data Modeling, MySQL

## Work Experience
### Software Engineer, Data @ Kiddom
Jan 2023 – Present | New York, United States
• Developed and maintained scalable backend data pipelines using Go to handle business logic and data ingestion for user accounts, class schedules, and rostering management, ensuring high performance and reliability.
• Implemented server-less architectures with AWS Lambda to automate and streamline data processing and data pipelining tasks, including event-driven updates and integration with external EdTech systems like Clever, ClassLink, Edlink and OneRoster.
• Designed and optimized relational databases in MySQL, managing and querying data related to user profiles, class assignments, and scheduling, resulting in improved data retrieval times and system efficiency.
• Worked with Devops teams to set up HoneyComb tracing and setup AWS Cloudwatch dashboards for monitoring improving observability into Data platform. 
• Refactored and cleaned up legacy code within the rostering data pipeline to improve maintainability and pipeline ingestion performance, ensuring compatibility with modern technologies and reducing technical debt.

### Data Engineer @ Dwolla
Jan 2022 – Jan 2023
• Led the design and implementation of event-driven micro-services using Scala and RabbitMQ, automating the delivery of 1099-K forms to over 350,000 users, resulting in $250k of additional revenue.
• Used DBT to transform data from various sources such as transactional databases, API’s into clean, analytics ready datasets.
• Used Python to clean, wrangle unstructured data in varied formats such as ACH, API logs. 
• Helped implement and maintain ETL jobs for our Snowflake data warehouse with dimensional modeling.

### Data Engineer @ Good Apple
Jan 2018 – Jan 2022 | New York, New York, United States
• Collaborated with cross-functional teams to design, scale, and implement ETL data pipelines to derive analytics from Ad-campaign data from multiple sources using Spark (AWS Glue), AWS S3 and Snowflake data warehouse.
• Developed interactive dashboards using Looker to visualize key metrics and enhance data driven decision-making. 
• Automated critical data processing workflows by orchestrating pipelines with Airflow, improving scheduling efficiency and reducing manual intervention.
• Designed and implemented scripts for legacy data ingestion from external sources like AWS S3 and FTP servers, using Pandas for data cleaning and transformation.


## Education
### Master’s Degree in Computer Science
Long Island University

### Bachelor’s Degree in Computer Science
Visvesvaraya Technological University


## Contact & Social
- LinkedIn: https://linkedin.com/in/ajayasuriyan

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Source: https://flows.cv/aparnaj
JSON Resume: https://flows.cv/aparnaj/resume.json
Last updated: 2026-03-20