Ravi Garg
Senior AWS Data Engineer / Architect | MLOps & Machine Learning (SageMaker, Bedrock) | Scalable Data Pipelines & Secure Auth/Data Governance
- Role
- Senior Data Engineer at PACCAR Technical Center
- Location
- Dallas-Fort Worth, TX, US
- LinkedIn followers
- 500 followers
About Ravi Garg
Senior AWS Data Engineer / Architect with 10+ years building scalable, secure, and…
Experience
Senior Data Engineer
Jul 2024 — Present · Lewisville, TX, US
Backend Development & Serverless Architecture: Designed & implemented backend solutions on AWS, leveraging Lambda for event-driven serverless architecture, API Gateway for REST API integration, and ElastiCache for efficient caching strategies, improving system scalability and reducing latency.•Gen AI Chatbot Development: Spearheaded the development of a Gen AI chatbot using AWS Bedrock agent, integrating LLMs like Claude by Anthropic, used AWS Lex to deliver personalized customer interactions. Utilized Streamlit to build interactive, user-friendly dashboards & interfaces for real-time chatbot monitoring.•CI/CD Pipelines: Established robust CI/CD pipelines using AWS CodePipeline, CodeBuild, and CodeDeploy, automating deployment for microservices & serverless functions, resulting in reduced release times & increased deployment frequency.•Data Warehousing (Redshift & Snowflake): Led the development of a comprehensive ETL framework using AWS Glue (PySpark and Python) to transfer data from Snowflake to Redshift and integrate with Redis for caching strategies, enhancing data accessibility & reducing query time by 40%.•Glue & PySpark Expertise: Automated complex ETL workflows in AWS Glue, using PySpark scripts/visual ETL for data ingestion & transformation from heterogeneous data sources to Redshift, S3 optimizing performance & cost.• Architected and implemented caching solutions using Redis on ElastiCache to enhance API response times and reduce database load by over 35%.•APIs & Data Integration: Developed REST APIs using API Gateway for real-time data ingestion, integrating with front-end applications built with React, ensuring seamless communication.•Cost Optimization: Applied AWS cost management tools like Trusted Advisor, Cost Explorer, Savings Plans to reduce operational expenses by 20%, providing strategic insights on RI planning and resource tagging.Technologies: Python, PySpark, API Gateway, Lambda, Redshift, Snowflake, Elasticache,Glue, Bedrock, Lex, React
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