AWS Cost Optimization at BairesDev
I was tasked with migrating a legacy PHP system to AWS serverless infrastructure while improving performance and reducing operational costs.
I architected and implemented a serverless solution using AWS Lambda, S3, and API Gateway, replacing traditional server-based deployment. I optimized Lambda functions for cold starts and implemented a tiered caching strategy to reduce database load.
The migration achieved an 85% performance improvement, 99.9% uptime for critical APIs, and a 40% reduction in hosting costs. The CI/CD pipelines I built reduced deployment time by 70%, allowing for more frequent and reliable updates.
Cloud Migration and Cost Reduction for ProbiusDx at IKTech
ProbiusDx, a bioinformatics startup, was facing excessive cloud costs and performance issues with their medical diagnostic data analysis platform on Azure.
I led a complete cloud migration from Azure to AWS, redesigning the architecture to leverage appropriate instance types and implementing auto-scaling based on actual usage patterns. I built microservices with proper containerization and orchestration for the compute-intensive analysis workflows.
The migration reduced cloud infrastructure costs by 40% while simultaneously improving platform reliability to 99.9% uptime. The redesigned architecture handled 100K+ daily API requests with sub-second response times for real-time analysis, critical for medical diagnostic applications.
Microservices Architecture for SecurityScorecard
SecurityScorecard needed to scale their cybersecurity rating platform to handle rapidly growing data collection requirements and API traffic, but their monolithic architecture was creating deployment bottlenecks and scalability issues.
I implemented a microservices architecture handling 1M+ hourly API requests with 99.95% uptime. I designed service boundaries based on business domains, created resilient ingestion pipelines across heterogeneous data sources, and implemented a comprehensive versioning strategy for APIs to ensure smooth transitions for clients.
The new architecture enabled SecurityScorecard to scale their platform to handle 3x more vendors per customer, directly supporting business growth. API usage increased by 30% as external partners found it easier to integrate with the platform. The independent deployment capabilities reduced release cycles from weeks to days.
Kubernetes-based Client Tools for OneTrust
After designing OneTrust's data migration platform, we needed secure deployment options that could work in various client environments, including air-gapped networks with strict security policies.
I designed Kubernetes-based client tools with containerized components that could be deployed in diverse environments. I implemented encryption for data in transit and at rest, created infrastructure-as-code templates to standardize deployments, and built in comprehensive logging and monitoring capabilities.
The flexible deployment architecture allowed OneTrust to successfully migrate 20+ enterprise clients, including those with the most stringent security requirements. The containerized approach reduced deployment time from days to hours, accelerating project timelines and improving client satisfaction during the migration process.
CI/CD Pipeline Optimization for Data Processing
Across multiple roles, I observed that data engineers were spending excessive time on deployment processes, with inconsistent environments causing hard-to-debug issues between development and production.
I built comprehensive CI/CD pipelines using GitHub Actions and Jenkins that automated testing, validation, and deployment of data processing code. I implemented infrastructure-as-code practices using Terraform to ensure environment consistency and created parameterized deployment templates that data engineers could easily configure.
These improvements reduced deployment time by 70% and virtually eliminated environment-related bugs. Data engineering teams could focus on data quality and processing logic rather than deployment mechanics, resulting in faster feature delivery and more reliable data pipelines across the organization.
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