Education

Technical Skills

• Languages: Python, SQL, Scala, JavaScript (ReactJS)

• Frameworks: Django, Pandas, Celery

• Cloud & DevOps: AWS (Lambda, API Gateway, DynamoDB, SQS, EventBridge, S3), Docker, Kubernetes, OpenShift

• Tools: GitHub, GitLab CI/CD, Datadog, Splunk, Terraform, Databricks, Hive

• Methodologies: Agile, TDD, Domain-Driven Design, Event Sourcing, Data Mesh, Event-Driven Architecture

• AI-Assisted Dev: Junie (JetBrains), Claude — accelerating code generation, documentation, and architectural design

Professional Experience

Stack: Python, Django, Celery, Pandas, PostgreSQL, RabbitMQ, Checkout.com, AWS (Lambda, SQS, DynamoDB, S3), Docker, Datadog

• As lead event sourcing engineer, architected a greenfield immutable event-sourced billing and ledger system from zero to production in 3 months using AI-assisted development — complete with scheduling, cancellations, and payment processing — processing $54M/month across 5,000–10,000 payment events/day with full financial traceability and replay; implemented a backwards-compatible upcasting system for schema evolution without breaking consumers

• Engineered mid-term adjustment (MTA) price change flows emitting immutable events to recompute future billing schedule aggregates across 300–1,000 of 400k active policies daily; built prorate refund and cancellation engines — first purchases as blocking sync for immediate confirmation, refunds and downstream actions as non-blocking event-driven processes

• Developed ACH return handling and full check payment flows — check issuance, check refund issuance, and check bounce recovery — driven by config-driven recovery actions defining retry sequences, dunning escalations, and per-method fallback behavior; Celery Beat-driven dunning schedules lifted payment recovery and recollection rates by 80%

• Engineered payment orchestration across multiple gateways with a fully configurable volume-tier pricing engine — tiers applied at $5M and $15M transaction/revenue thresholds — calculating flat, minimum, and tiered fees without code changes; contributed to PayFac implementations across $100M+ in transactions, generating $1.7M in net-new revenue via percentage-based commission collection

• Instrumented end-to-end Datadog distributed tracing across chained async Celery tasks; transformed observability from silent failures to instant alerting — surfacing missed refunds and data inconsistencies that had gone undetected, recovering hundreds of thousands of dollars for customers through automated data correction and immutable event backfills

• Shipped a self-service rating engine cutting new-state deployment from months to a single day; streamlined rating calculations using Pandas and Python CSV processing, enabling expansion across all 50 US states

Stack: Python, Flask, Scala, ReactJS, AWS (Lambda, API Gateway, DynamoDB, SQS, Step Functions, Glue), OpenShift, Kubernetes, GitLab CI/CD, Splunk, Terraform, HBase, Hive

• Developed serverless data platform using AWS Lambda, API Gateway, and DynamoDB; exposed secure RESTful APIs with OAuth/ISAM authorization, VPC network isolation, and role-based access control

• Designed a CDC-driven data lake ingestion pipeline streaming millions of records/day from on-premises databases into AWS; Step Functions orchestrated Spark jobs for large-scale ingestion, with SQS-based concurrency controls and Splunk dashboards providing real-time monitoring and automated alerting

• Contributed to the design of a Data Mesh architecture and implemented a rule-based IAM policy system eliminating data duplication — unlocking new lines of business by enabling data scientists and actuaries to query cloud data directly, accelerating business decisions that previously required costly data migrations

• Launched One Punch Go, a preventative care incentive platform serving millions of members — surfacing personalized care opportunities from HBase/Hive big data tables upon login, where each completed action (wellness visits, screenings) automatically triggered an HSA reward deposit (e.g. $100) to the member; delivered in Python Flask, ReactJS, and Scala on OpenShift/Kubernetes via GitLab CI/CD