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Production-grade serverless data platform integrating multi-source community signals into HubSpot CRM with data quality enforcement, schema validation, and real-time analytics dashboards.
GTM and data teams needed to consolidate Common Room community signals and Scarf analytics into HubSpot CRM with reliable synchronization and real-time dashboards.
Event-driven serverless platform with intelligent batching, rate limiting, and comprehensive observability.
S3-triggered Lambda functions validate, transform, and batch process data from Common Room (community engagement) and Scarf (package analytics), ensuring consistent schema enforcement and data quality.
Token-bucket algorithm with DynamoDB state management handles HubSpot API limits with dynamic batch fan-down for optimal throughput without rate limit violations.
Automated retry policy with exponential backoff, DLQ routing, and idempotent upserts ensure zero data loss with safe replay capability for any failed operations.
Custom analytics dashboards in Preset (Apache Superset) powered by Athena queries on S3 data lake for real-time community influence tracking and pipeline monitoring.
CloudWatch metrics, alarms, and SNS notifications with daily health checks and comprehensive operational runbooks for proactive issue resolution.
Terraform modules with GitHub Actions CI/CD enable repeatable deployments across environments with consistent configuration and version control.
Schema registry with versioned validation, data quality gates, lineage tracking, and compliance-ready retention policies ensure trusted, auditable data.
S3-based data lake with intelligent partitioning, lifecycle policies, and Glue Catalog metadata enables efficient analytics and cost optimization.
Complete system design with 9-layer architecture and real-time event-driven data flow.
9-layer production platform with end-to-end event-driven data flow
EventBridge scheduling, Step Functions workflows, API Gateway triggers
Common Room API, Scarf Analytics API, future integrations
S3 partitioned storage, event notifications, lifecycle policies
Schema validation, deduplication, transformation, batch processing
SQS queues, DLQ error handling, exponential backoff retry
HubSpot integration, token bucket rate limiting, idempotent upserts
Glue Catalog, Athena queries, Preset dashboards, star schema
CloudWatch logs & metrics, SNS notifications, operational runbooks
IAM roles, encryption (SSE-KMS), Secrets Manager, data lineage
Business value delivered through technical excellence driving sustainable growth.
40% Latency Reduction
Optimized data pipeline processing from ingestion through CRM synchronization with intelligent batching and parallel processing, reducing end-to-end latency significantly.
Zero Data Loss
Bulletproof reliability with DLQ error handling, automated retry policies with exponential backoff, and idempotent operations ensuring complete data integrity.
3x Cost Efficiency
Serverless architecture with auto-scaling eliminates over-provisioning, pay-per-use pricing model, and S3 lifecycle policies for optimal storage costs.
100% Rate Limit Adherence
Token-bucket rate limiting with DynamoDB state management ensures HubSpot API compliance (100 requests per 10 seconds) with dynamic batch fan-down.
24/7 Monitoring
Comprehensive CloudWatch metrics, custom alarms, SNS notifications, and Preset analytics dashboards provide real-time operational insights and proactive alerting.
Unified Community Intelligence
Consolidated view of community engagement and package usage in HubSpot CRM empowers GTM teams with actionable insights for targeted outreach.
Let's discuss how I can help transform your data infrastructure and drive measurable business results.
Meet Me on Upwork