Data & Infrastructure

Scalable Systems

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.

Database Systems

PostgreSQL Complex queries, indexing strategies, migrations, performance tuning
MongoDB Document modeling, aggregation pipelines, sharding, replication
Redis Caching layers, session storage, pub/sub, rate limiting
Vector Databases Pinecone, Weaviate for semantic search and embeddings

Cloud Infrastructure

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.

Scale & Reliability

Built systems processing millions of transactions daily across e-commerce and energy sectors. Designed for 99.9% uptime with automated failover, redundancy, and graceful degradation under load.

Experience scaling databases from thousands to millions of records, optimizing infrastructure costs while maintaining performance, and planning capacity for traffic spikes and growth.

Data Engineering Capabilities

ETL Pipelines

Data extraction, transformation, loading workflows processing millions of events daily with Airflow and custom schedulers

Analytics Infrastructure

Event tracking systems, data warehousing, reporting dashboards, metric aggregation and visualization

Real-time Processing

Stream processing with Kafka, event-driven architectures, WebSocket servers, live data synchronization

Data Modeling

Schema design, normalization strategies, denormalization for performance, migration planning and execution

Performance & Scale

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.

Monitoring & Observability

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.

Data Governance & Security

Experience implementing data governance across regulated industries - HIPAA compliance for healthcare, SOC 2 for financial services, PCI-DSS for payment systems, and GDPR for user privacy.

Built data encryption at rest and in transit, implemented access controls and audit logging, designed data retention policies, and managed secure database migrations without downtime.

Infrastructure That Scales

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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