Travis Odoms

Senior Software & Data Engineer at SOLERA

Architected real-time IoT data pipelines using AWS IoT Core and Amazon Kinesis Data Streams to securely ingest GPS, engine diagnostics, and driver-behavior data from 10k+ connected vehicles with sub-3s latency. Implemented Kinesis Data Analytics + AWS Lambda for continuous anomaly detection and predictive maintenance scoring, reducing unplanned vehicle downtime by 25%. Designed a time-series optimized data lake on S3 with AWS Glue Data Catalog for metadata management and Amazon Timestream for high-resolution telemetry storage. Developed vehicle performance analytics in Amazon Redshift and Amazon Athena, enabling route optimization and fuel-efficiency reporting for fleet managers. Orchestrated streaming ETL workflows with AWS Managed Workflows for Apache Airflow (MWAA), integrating telematics data with dispatch and compliance systems. Built automated data quality checks using AWS Glue Data Quality and Deequ, with operational monitoring via CloudWatch and alerting via SNS to sustain 24x7

Software & Data Engineer at ALTEN

Designed and implemented microservice architecture on AWS (ECS + API Gateway + Lambda; Terraform for IaC) to support the Supply Chain portal, enabling scalable item management for internal teams. Integrated a 3rd-party sourcing platform for Global Supplier Managers (GSM) to collaborate with potential suppliers, reducing sourcing cycle time by 30%. Built AWS-based data pipelines (S3 + Glue for ingestion and Redshift + dbt for transformations) to process supplier, item, and negotiation data, enabling near real-time updates in the portal. Developed automated workflows using Step Functions, SNS, and EventBridge to streamline supplier communications, reducing manual coordination workload by 60%. Implemented data quality checks using AWS Glue Data Quality and monitoring with CloudWatch + Lambda, ensuring 99.9% accuracy in supplier and item records across systems. Built an AI data processing and mining platform using TypeScript, Node.js (NestJS/Express), React, Redux, PostgreSQL, and AWS; int

Senior Software & Data Engineer at SOLERA

Designed and implemented real-time IoT data pipelines using AWS IoT Core and Amazon Kinesis Data Streams to securely ingest GPS, engine diagnostics, and driver behavior data from 10k+ connected vehicles with sub-3s latency; implemented Kinesis Data Analytics + AWS Lambda for continuous anomaly detection and predictive maintenance scoring, reducing unplanned vehicle downtime by 25%; designed a time-series optimized data lake on S3 with AWS Glue Data Catalog for metadata management and Amazon Kinesis Data Streams for high-res fleet telemetry; developed vehicle performance analytics in Amazon Redshift and Amazon Athena, enabling optimized routing and fuel-efficiency reporting for fleet managers; orchestrated streaming ETL workflows with AWS Managed Workflows for Apache Airflow (MWAA), integrating telematics data with dispatch and compliance systems; built automated data quality checks using AWS Glue Data Quality and AWS Deequ with operational monitoring via Amazon CloudWatch and SNS alert

Software & Data Engineer at ALTEN

Designed and implemented microservices architecture on AWS (ECS + API Gateway + Lambda; Terraform for IaC) to support the Supply Chain portal, enabling scalable item management for internal teams; integrated a 3rd-party sourcing platform for Global Supplier Managers to collaborate with potential suppliers, reducing sourcing cycle time by 30%; built AWS-based data pipelines (S3 + Glue for ingestion, Redshift + dbt for transformations) to process supplier, item, and negotiation data, enabling near real-time updates in the portal; developed automated workflows using Step Functions, SNS, and EventBridge to streamline supplier communications, reducing manual coordination workload by 60%; implemented data quality checks using Glue Data Quality and monitoring via CloudWatch; built an AI data processing platform using TypeScript, Node.js (NestJS/Express), React, Redux, PostgreSQL, and AWS; integrated JIRA APIs and developed REST endpoints with D3.js/Chart.js visualizations for SDLC analytics.

Senior Software & Data Engineer at Solera

Architected real-time IoT data pipelines using AWS IoT Core and Amazon Kinesis Data Streams to securely ingest GPS, engine diagnostics, and driver behavior data from 10k+ connected vehicles with sub-3s latency. Implemented Kinesis Data Analytics + AWS Lambda for continuous anomaly detection and predictive maintenance scoring, reducing unplanned vehicle downtime by 25%. Designed a time-series optimized data lake on S3 with AWS Glue Data Catalog for metadata management and Amazon Timestream for high-resolution fleet telemetry storage. Developed vehicle performance analytics in Amazon Redshift and Athena, enabling route optimization and fuel efficiency reporting for fleet managers. Orchestrated streaming ETL workflows with MWAA for Apache Airflow, integrating telematics data with dispatch and compliance systems. Built automated data quality checks using AWS Glue Data Quality and Deequ, with operational monitoring via CloudWatch and alerts via SNS to maintain 24x7 SLA compliance. Created p