Databases, Cloud & Data Pipelines
Designing and building data infrastructure that scales. From database architecture to cloud deployment, creating systems that handle millions of events, transactions, and users with reliability and performance.
Extensive experience with AWS services - EC2, Lambda, S3, RDS, DynamoDB, CloudFront, API Gateway, and more. Built serverless architectures, containerized applications, and hybrid cloud solutions.
Implemented Infrastructure as Code with Terraform and CloudFormation. Designed for high availability, disaster recovery, and cost optimization across multi-region deployments.
Data extraction, transformation, loading workflows processing millions of events daily with Airflow and custom schedulers
Event tracking systems, data warehousing, reporting dashboards, metric aggregation and visualization
Stream processing with Kafka, event-driven architectures, WebSocket servers, live data synchronization
Schema design, normalization strategies, denormalization for performance, migration planning and execution
Optimized database queries handling millions of rows, implemented caching strategies reducing response times by 10x, and designed data models that balance read/write performance for high-traffic applications.
Experience with database replication, sharding strategies, connection pooling, and query optimization. Built systems that maintain sub-100ms response times at scale.
Implemented comprehensive monitoring with Datadog, CloudWatch, and custom dashboards. Built alerting systems that catch issues before they impact users.
Designed logging strategies, distributed tracing, and performance profiling across microservices. Experience with APM tools and real-time system health monitoring.
Building a data pipeline? Migrating to the cloud? Optimizing database performance? I bring experience designing infrastructure that handles growth from startup to enterprise scale.
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