Andrea Lobo
Frisco,TX
Summary
Dynamic engineering leader with over 18 years of experience delivering multi-cloud application and data platforms at enterprise scale, specializing in AWS and GCP. Proven track record in leading cross-functional engineering teams to drive cloud modernization, data platform strategy, and platform reliability. Expertise includes distributed systems, cloud-native architecture, and high-scale data processing, with a strong focus on enabling AI/ML through scalable data platforms and MLOps-aligned practices. Committed to fostering a KPI-driven engineering culture prioritizing reliability, delivery excellence, and operational efficiency while aligning platform strategies with business objectives and customer outcomes.
Overview
15
15
years of professional experience
Work History
Software Engineering Manager – Cloud & Data Platform
Sabre
01.2011 - Current
- Lead 18-member engineering, DevOps, database, and operations teams; improved team throughput by ~30% via role clarity, OKRs, and release governance.
- Partner with Product and executives to deliver multi-year roadmap; increased feature delivery predictability (on-time releases +25%).
- Support RFPs and customer engagements; contributed to new/renewal deals by articulating scalable architecture and SLAs.
- 14 Years of Progressive Engineering & Platform Leadership
- Led cross-functional teams to deliver software solutions aligning with business objectives.
Lead – APIs, Services & Multi-Cloud Data Engineering
Sabre
01.2016 - 12.2019
- Designed containerized microservices (Kubernetes EKS/ECS/GKE, OpenShift); improved scalability and reduced deployment risk.
- Built high-throughput APIs; increased system throughput and reduced integration latency by ~30%.
- Established API standards and versioning; decreased breaking changes and support overhead.
- Led agile teams delivering APIs, microservices, and distributed data systems.
Enterprise Application Development
Sabre
01.2011 - 12.2015
- Built core services; improved performance and scalability supporting growing transaction volumes.
- Optimized Oracle RAC/RDS; reduced query latency by ~30% and improved throughput.
- Enhanced logging/monitoring; reduced MTTR by ~25%.
- Contributed to migration from monolith to SOA; improved modularity and release independence.
- Delivered end-to-end enterprise airline applications.
Education
Master of Science - Computer Science
Binghamton University
Bachelor of Engineering - Computer Engineering
Mumbai University
Skills
- Cloud & Architecture
- Multi-Cloud Architecture (AWS, GCP)
- Cloud Migration & Modernization
- Kubernetes (EKS, ECS, GKE), OpenShift
- Infrastructure as Code (Terraform, CloudFormation)
- High Availability & Resilient System Design
- Disaster Recovery (RTO/RPO, Multi-Region)
- Data & AI Enablement
- Data Platform Engineering & Distributed Systems
- Batch & Streaming Pipelines (Spark, Kafka)
- Data Lakes & Curated Data Models
- AI/ML Enablement & MLOps Alignment
- Feature Engineering & Analytics Readiness
- DevOps, Security & Cost Governance
- CI/CD Pipelines & Release Automation
- Observability (Monitoring, Logging, Alerting)
- Security Architecture (IAM, Encryption, Compliance)
- Vulnerability Management & Governance
- FinOps & Cost Optimization Strategies
- Leadership
- Engineering Organization Leadership
- KPI Ownership & Executive Dashboards (Looker, BI)
- Cross-Functional & Stakeholder Management
- Customer-Facing Technical Leadership
- Cloud Platforms
- AWS: EC2, EKS, ECS, S3, RDS, DynamoDB, EMR, Glue, Lambda, Kinesis, CloudWatch, CloudTrail, IAM, KMS, VPC, ELB/ALB, Route 53, Secrets Manager
- GCP: GKE, Compute Engine, Cloud Storage, BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Functions, Cloud Run, Cloud Monitoring, Cloud Logging, IAM, VPC, Secret Manager
- Data & Analytics
- Spark, Kafka, EMR, Glue, Dataproc, Dataflow, Pub/Sub, MongoDb
- Data Lake (raw/curated), BigQuery, data modeling, data quality & validation
- DevOps & MLOps
- CI/CD: Jenkins, Git-based workflows, pipelines
- IaC: Terraform, CloudFormation
- Containers: Docker, Kubernetes (EKS/ECS/GKE), OpenShift
- Observability: CloudWatch, Stackdriver/Cloud Monitoring, logging/alerting
- MLOps Foundations: Vertex AI readiness, feature pipelines, model lifecycle hooks, monitoring integration
- Architecture & Engineering
- Microservices, event-driven architecture, API-first design
- Distributed systems, high availability, scalability patterns
- Streaming & batch processing architectures
- Resilience patterns (circuit breakers, retries), caching strategies
- Disaster Recovery (RTO/RPO), multi-region design
- Security architecture (IAM, encryption, network segmentation)
- FinOps and cost optimization strategies
- Software development life cycle
- Software architecture
- Microservices architecture
- DevOps practices
Accomplishments
- 99.7% uptime supporting 30+ global airline customers
- 50% cloud cost reduction via FinOps optimization
- Scaled platforms to 100M+ records/day per airline
- ~35% incident reduction; improved MTTR
- 3x deployment velocity with CI/CD & IaC
- ~40% latency reduction; ~25% data quality improvement
- Enabled AI/ML readiness for pricing & revenue analytics
- Led 18-member cross-functional engineering team
Timeline
Lead – APIs, Services & Multi-Cloud Data Engineering
Sabre
01.2016 - 12.2019
Software Engineering Manager – Cloud & Data Platform
Sabre
01.2011 - Current
Enterprise Application Development
Sabre
01.2011 - 12.2015
Master of Science - Computer Science
Binghamton University
Bachelor of Engineering - Computer Engineering
Mumbai University