Aishwarya Maruthi
Maple valley,WA
Summary
To secure a challenging role as a Data Engineer where my skills in data modeling, ETL development, and database management can be utilized to enhance data-driven decision-making processes. As an experienced professional with 4 years of hands-on experience in the field, I am confident in my ability to design, build, and maintain data pipelines, optimize database performance, and ensure data quality and integrity. My goal is to contribute to the success of the organization by leveraging my technical expertise and analytical skills to deliver high-quality solutions that meet business requirements.
Overview
4
4
years of professional experience
Work History
Software Developer Engineer
Amazon
Seattle
06.2022 - Current
- Contact Quality Audit
- Tools: React JS, NodeJS, Typescript, AWS services- Lambda, DynamoDB, S3,
- Cognito
- Responsibilities:
- Developed 2 UI Components - CQA & CSQA to Audit the quality of an agent with customer using React and Stencil
- Used Node.js for server-side web applications for java script codes to build real-time web API's
- Performed typical CRUD operations on Amazon DynamoDB items in a table
- Created Cradle jobs to run daily and to copy data from S3 to Redshift for reporting analytics purpose
- Build backend using Lambda and Amazon API Gateway to authenticate and process API requests
- AET-Machine Translation
- Tools: Python, AWS services- Amazon Comprehend Medical, Amazon
- Textract, Lambda, SNS, SQS,
- S3 and AWS Managed Services
- Responsibilities:
- Worked closely with stakeholders including the Product, Data, and
- Design teams to assist with data-related technical issues and support their data infrastructure needs
- Developed the code using Python Modules
- Performed Unit testing using PyTest and Robot frameworks
- Created a pipeline for Hydra Integration testing
- Used Amazon Kinesis to process real-time streaming data for application activity tracking
- Data processing in real time using Amazon S3 to trigger Lambda
- Used CloudWatch Lambda Insights for monitoring applications running on AWS Lambda
- To access AWS resources such as Amazon S3 and DynamoDB used
- Amazon Cognito to deliver temporary credentials to application
- Solved production issues such as bug fixes.
Data Engineer
PetSmart
08.2021 - 06.2022
- Arizona, US
- Implemented CI/CD pipeline using Jenkins and GCP services such as
- Dataproc and Pub/Sub
- Using NumPy and Pandas in Python performed Data Processing for predictive analysis
- Built the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL
- Used Snowflake as a data migration platform for inputting data generated by GCP
- Created Snow pipe in Snowflake for bulk loading data to Snowflake warehouse from file stages and external locations.
SQL Data Analyst/Power BI Developer
Vertafore
Hyderabad, Telangana
05.2019 - 12.2019
- Worked with data to create data mappings in the Commercial
- Submissions Forms environment
- Built different data visualization by using Power BI to turn data into charts/maps
- Created SQL reports, data extraction and data loading scripts for different databases and schemas
- Designed dynamic SSIS Packages to transfer data crossing different platforms, validate data during transferring, and archived data files for different DBMS.
Education
Master of Science - Data Science
University of North Texas
Denton, TX12.2021
Bachelor of Technology -
GITAM
Vizag INDIA05.2019
Skills
- Python, Java,
- SQL, Tableau, PowerBI
- AWS services- IAM, Lambda, DynamoDB, S3, Cognito, Cloud
- Formation, Cloud Watch
- Junit, jest, NodeJs , TypeScript, React
Timeline
Software Developer Engineer
Amazon
06.2022 - Current
Data Engineer
PetSmart
08.2021 - 06.2022
SQL Data Analyst/Power BI Developer
Vertafore
05.2019 - 12.2019
Master of Science - Data Science
University of North Texas
Bachelor of Technology -
GITAM