Satya Dhwaj

Spearheaded the development of a scalable, brand-agnostic OTA update system for 15+ client applications, reducing update payloads by 70% and significantly cutting infrastructure costs.

Improved rollout speed, compliance, and change visibility for new features, leading to faster user adoption and enhanced system reliability.

Designed and implemented a low-cost, scalable, and fault-tolerant event tracking pipeline using AWS Kinesis for near-live ingestion and storage of high-throughput events.

Constructed a robust multi-account Lambda CI/CD pipeline with Bitbucket and AWS, enhancing compliance and audit management through integrated change tracking.

Configured and optimized AWS infrastructure (VPCs, load balancers, IAMs), applying security best practices and ensuring performance and cost efficiency through load testing, right-sizing, and auto-scaling.

Revamped core transactional flows (wallet, gameplay, payments) with new business logic, implementing a withdrawal recommendation system and modernizing legacy code to achieve 99.99% uptime.

Designed and delivered a fault-tolerant, brand-agnostic configuration service, replacing a legacy system and reducing its failure rate by 30%, while improving performance, reducing latency, and enhancing user experience.

Streamlined the legacy InfluxDB metrics pipeline, minimizing cardinality, reducing infrastructure footprint, and enhancing performance across CPU, disk, and query responsiveness.

Modularized platform features by consolidating reusable flows (e.g., calendar, support, notifications) into a common SDK, improving development speed, consistency, and cross-brand delivery across 8+ applications.

Revamped critical core services, including transaction history, withdrawals, offers, and other key workflows, incorporating HVP support and optimizing user operations.

Developed a predictive churn system using AWS SageMaker Autopilot to identify at-risk users post-first transaction.

Enabled targeted incentive programs, achieving a 57% increase in gross commission during the experimental phase.

Developed automated ETL pipelines for compliance and legal data delivery, supporting churn, retention, and revenue reporting.

Ensured data validation, reconciliation, alerting, and audit readiness for critical business insights.