Pranay Reddy Kodumuru
Software Dev Engineer at Amazon | AWS & Databricks Certified Data Engineer Associate | Master\'s in Data Science at University at Buffalo | Ex TCS
- Role
- Software Dev Engineer in Data at Amazon
- Location
- Bellevue, WA, US
- LinkedIn followers
- 500 followers
About Pranay Reddy Kodumuru
I\'m a Software Development Engineer with over 3+ years of experience and Data Engineer…
Experience
Software Dev Engineer in Data
Sep 2022 — Present · Seattle, WA, US
Crafted registration and login pages for Amazon hiring portal, which resulted in creation of 46.9k new candidate accounts and leading to over 836.8k successful sign-ins within a week of launch.• Designed and implemented the Auth Audit Log Service, enabling the WFS team to resolve customer-facing issues in-time, resulting in an 80% reduction in tickets.• Modified AWS SES Logs using AWS Lambda and passed those logs into AWS CloudWatch Logs when there is an email suppressed or bounced.• Encryption of PII Customer data Using AWS KMS and AWS Lambda before writing to CloudWatch logs.• Developed Few APIs for retrieving latest candidate data using loser id when two candidate profiles merged and retrieve candidate data with strong consistency reads from DynamoDB.• Managed APIs using API Gateway to handle data operations (GET/POST/PUT) with AWS DynamoDB.• Engineered an advanced validation library using Java and TypeScript; elevated candidate data validation standards, cutting error rates by 28% and enhancing operational efficiency across departments.• Built a centralized Data Lake for near real-time data on AWS Cloud, leveraging services such asDynamoDB, Kinesis Data Streams, Kinesis Data Firehose, S3, Lake Formation, Redshift, Athena, andGlue.• Enabled S3 Notification and SQS to provide alerts whenever a new file loaded into S3.• Transformed batch data from AWS S3 using Spark on EMR.• Orchestrated ETL processes using AWS Glue, extracting, transforming, and loading data between S3 buckets and into the Glue Data Catalog.• Automated operations with AWS Lambda to transfer datasets from S3 to AWS RDS, and orchestrated data pipelines with Step Functions.• Guided fine-grained access of data to Business Analysts and Data Scientists using AWS Lake Formation.• Implemented CI/CD for Data Lake, Data Publisher, and Audit Log stream processor pipelines and created integration test packages to ensure functionality.
Education
Gitam University, Hyderabad
Bachelor of Technology - BTech
2014 — 2018
University at Buffalo
Masters of Engineering Sciences
2021 — 2023
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