Tanjim Alam
Featured Projects
E-commerce Data Pipeline
Real-time data pipeline processing millions of events daily
Legacy batch processing caused delays in business insights and decision-making for a growing e-commerce platform.
Built a streaming data pipeline using GCP Pub/Sub, Dataflow, and BigQuery with automated data quality checks.
Reduced data latency from 24 hours to under 5 minutes. Enabled real-time dashboards that improved inventory decision-making and reduced stockouts by 23%.
Shopify Integration Platform
Unified integration layer for Shopify apps and services
Multiple disconnected Shopify integrations led to data inconsistencies and slow order processing.
Developed a centralized NestJS API with Redis caching, webhook management, and automated sync workflows.
Consolidated 5 separate integrations into one platform. Reduced order sync time by 67% and eliminated 95% of data discrepancies.
Cloud Infrastructure Optimization
Cost and performance optimization for cloud workloads
Cloud costs were increasing 40% year-over-year without corresponding growth in usage.
Implemented autoscaling policies, containerized services with Cloud Run, and optimized BigQuery queries with partitioning.
Reduced monthly cloud spend by $12K (35% reduction) while improving average response time by 150ms.
About Me
I'm a backend engineer and data specialist who builds scalable systems that turn complex data into actionable insights. My work spans cloud infrastructure, e-commerce platforms, and data pipelines that process millions of events daily.
With expertise in GCP, Node.js, and BigQuery, I focus on creating reliable, performant solutions that solve real business problems. Whether it's optimizing cloud costs, building real-time data pipelines, or integrating Shopify ecosystems, I bring a systems thinking approach to every project.
I believe in writing clear, maintainable code and making data-driven decisions. Performance and reliability aren't afterthoughts—they're core requirements from day one.