Yashaswini Gouru
Data Engineer
Bellevue,WA
Summary
Experienced data engineer with expertise in designing, developing, and deploying data solutions across the entire data lifecycle. Collaborative and skilled in delivering valuable data-driven insights for self-service reporting and improved business decision-making. Demonstrated success in leveraging data to drive organizational growth and efficiency, with 5 years of industry experience.
Overview
7
7
years of professional experience
6
6
years of post-secondary education
Work History
Senior Data Engineer
SID Global Solution
Bellevue, Washington
09.2021 - Current
- Collaborated with research scientists to translate project requirements into technical solutions, optimizing R&D processes, and deploying machine learning models within automated CI/CD pipelines using Docker, AWS services, and CDK automation, reducing deployment time by 30% and improving performance by 70%.
- Architected and implemented scalable, real-time data delivery systems with AWS Kinesis and Apache Flink for low-latency processing of video data and IoT device events, while developing end-to-end ETL pipelines with AWS Glue and Athena to support large-scale data analytics.
- Led the design and deployment of cloud platforms using AWS EC2, Lambda, Redshift, and SageMaker, addressing security challenges to ensure data integrity, privacy, and secure access control.
- Collaborated with clients to define project requirements, delivering tailored reporting solutions and optimizing high-performance databases (Aurora MySQL, DynamoDB, MongoDB) and ETL pipelines, reducing operational labor by 40% and improving data accessibility by 70%.
- Architected scalable data warehouse solutions on AWS Redshift, increasing data processing capacity by 4x and reducing query execution time by 30%, while developing and maintaining robust data pipelines using Apache Airflow, Apache Flink, Glue, and Athena.
- Implemented database replication strategies for high availability and designed multi-factor authentication to enhance platform security, ensuring 90% uptime with minimal disruptions.
- Enhanced system performance by designing and implementing scalable data solutions for high-traffic applications.
Consultant
Capgemini
Jersey, NJ
06.2021 - 09.2021
- Designed and optimized Spark data processing applications using Python and PySpark, improving data workflows and processing efficiency.
- Orchestrated the construction of 5+ modular data pipelines, using Airflow and Databricks, enabling real-time data ingestion for regulatory reporting, and achieving 99.99% data accuracy rate.
- Acted as a troubleshooter for data-related issues, enhancing operational efficiency and resolving critical data challenges.
Data Engineer
Exafluence
New York, New York
03.2021 - 06.2021
- Led a data migration project to Snowflake, optimizing ETL processes with Python and PySpark, improving data accuracy by 30% and reducing management time by 70%
- Enhanced data processing workflows within AWS EMR, improving performance and processing efficiency for large-scale datasets
- Migrated legacy systems to modern big-data technologies, improving performance and scalability while minimizing business disruption.
- Evaluated various tools, technologies, and best practices for potential adoption in the company''s data engineering processes.
Graduate Research Assistant
University of New Haven
West Haven, Connecticut
08.2019 - 12.2020
- Co-authored an IEEE publication on 'Attribution Modeling for Deep Morphological Neural Networks using Saliency Maps.'
- Engineered PyTorch scripts for morphological networks, enhancing feature extraction accuracy by 15% in image classification tasks, and reducing model training time by 20% with optimized code
- Assisted in manuscript preparation, contributing to the publication of influential articles in peer-reviewed journals.
Associate Software Engineer
Accenture
Hyderabad, Telengana
11.2017 - 12.2018
- Developed Python scripts for automating data operations, reducing manual effort by 20%
- Designed APIs and optimized Python code to improve data processing performance by 30%
- Collaborated with cross-functional teams to develop, test, and deploy high-quality software solutions for clients.
Education
Master of Science - Data Science
University of New Haven
West Haven, CT 01.2019 - 12.2020
Bachelor of Engineering - Electrical and Electronics Engineering
G. Narayanamma Institute of Technology And Sciences
India 09.2013 - 06.2017
Skills
- Languages: Python , Typescript , React , PySpark, Scala
- Databases: SQL Databases (Mysql , Postgres ) , No SQL Databases (Dynamo DB , Mongo DB, Graph) , Data Warehouse (Redshift , snowflake)
- Cloud: AWS Cloud services , AWS cloud architecture ,CDK
- Data Science : Machine Learning , Deep Learning , Artificial Intelligence , AI Security ,NLP
- Big Data Tools: Hadoop , Apache Spark ,Hive , Apache Flink
- ETL : Quicksight , Informatica , Tableau
Publications
Attribution Modeling for Deep Morphological Neural Networks using Saliency Maps, Muhammad Aminul Islam, Yashaswini Gouru, Charlie Vea, Derek T. Anderson
Timeline
Senior Data Engineer
SID Global Solution
09.2021 - Current
Consultant
Capgemini
06.2021 - 09.2021
Data Engineer
Exafluence
03.2021 - 06.2021
Graduate Research Assistant
University of New Haven
08.2019 - 12.2020
Master of Science - Data Science
University of New Haven
01.2019 - 12.2020
Associate Software Engineer
Accenture
11.2017 - 12.2018
Bachelor of Engineering - Electrical and Electronics Engineering
G. Narayanamma Institute of Technology And Sciences
09.2013 - 06.2017
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