Architecting a petabyte-scale serverless data lake and automated reporting ecosystem. This solution processes millions of daily records, enabling real-time analytics and distributing 10,000+ personalized reports daily across a global stakeholder network with zero manual intervention.
Legacy systems trapped critical data in disparate silos with 48+ hour reporting latency, hindering real-time decision making for global teams.
Highly skilled analysts spent 40% of their time manually querying, formatting, and emailing reports, leading to burnout and human error.
Need for strict data governance, row-level security, and the ability to scale from TBs to PBs without infrastructure management.
Implemented a tiered data lake on S3 with AWS Glue for automated ETL, cataloging, and partitioning. This enables sub-second query performance on massive datasets using Athena's distributed engine.
Designed a complex Step Functions state machine to orchestrate report generation. CloudWatch Events trigger parallelized Lambda workflows that query data, format PDFs/Excel, and handle delivery logic with retries.
A dynamic distribution engine that personalizes reports for 10,000+ recipients. Granular IAM policies and SES integration ensure secure, trackable delivery to internal and external stakeholders.
Schedule & Event Rules
Workflow Orchestration
Compute Handling
ETL & Data Catalog
Distributed Query Engine
Partitioned Storage
Email Delivery Service
Alerting Topics
Moved from always-on EC2 clusters to a pure pay-per-query serverless model, slashing TCO.
Reduced reporting latency from 2 days to <15 minutes, empowering agile decision making.
System now handles 50TB+ monthly data ingress and distributes 10k+ reports daily with 99.99% reliability.
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