Designed high-performance FastAPI services and 20+ Python automation tools (Motor/async MongoDB, SQLAlchemy/MySQL) for multi-tenant Healthcare, Insurance, and Mortgage clients saving 500+ Engineering and Sales hours per quarter and enabling onboarding of million-dollar enterprise logos by accelerating platform fit and expansion contract delivery. Architected and implemented ZEGA (Zenith GitHub App), a high-performance FastAPI token-management service replacing hardcoded PATs with dynamic GitHub App token generation across 180+ repos, 3 environments (dev, QA, prod), and all Ushur CI/CD systems backed by Redis caching to sustain 500+ requests/minute at peak monthly release windows. Eliminated a hard scalability ceiling: PATs are limited to 5,000 tokens/hour per GitHub account vs. 15,000 tokens/hour per repo with GitHub Apps directly unblocking release cadence scale across growing customer infrastructure while eliminating hardcoded credential security risk. Designed fault-tolerant, event-driven data pipelines (SQS with dead-letter queues, EventBridge, Lambda, S3) with KMS-at- rest encryption, Secrets Manager, and least-privilege IAM achieving 75% faster data product delivery, compliance-grade audit readiness, and zero critical security incidents in regulated Healthcare and Insurance production. Hardened API security with AWS WAF on API Gateway, Vault-integrated credential management, and per-service IAM least- privilege across all 65 microservices maintaining a zero critical security incidents record across regulated production environments. Resolved a systemic CI/CD bottleneck where 65+ microservices were coupled in a single monolith pipeline, blocking all teams on any one failure. Re-architected to independent pipelines each service builds and ships in ~1 minute; all 65 complete in 67 minutes, delivering 9x build concurrency and 40% shorter release cycles. Built 'Zenith,' a FastMCP server enabling engineers to manage all 65 repos branching, PRs, and CI/CD directly from Cursor, VSCode, and PyCharm. Recovered 70 engineering hours/week (~$8,400/week) for a 70-person US/India team by eliminating GitHub UI context-switching entirely. Integrated SumoLogic observability (log aggregation, metrics dashboards, real-time alerting) across the full platform reduced incident detection and resolution from 8+ hours to minutes, replacing reactive customer escalations with proactive monitoring and improving SLA reliability for Healthcare and Insurance accounts.