Available to hire
I’m a dedicated Full Stack Developer with 4+ years of experience across insurance, financial services, and marketing technology. I build Python-driven backend services, automation workflows, and batch processing solutions using Python, SQL, AWS, Docker, Kubernetes, CI/CD pipelines, and React to support platforms processing millions of records and serving 100+ internal users.
I collaborate with product, QA, security, and platform teams to support compliant, API-driven workflows and user-facing features within Agile delivery cycles, delivering secure, scalable software in cloud environments.
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Expert
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Work Experience
Full Stack Python Developer at Liberty Mutual
April 1, 2025 - PresentArchitected Python-based backend services and microservice components with JWT authentication, RBAC enforcement, IAM policies, and audit logging, supporting 18 policy-governed insurance workflows across AWS-hosted enterprise platforms. Built React interfaces using Hooks and Redux to consume secured backend APIs, enabling underwriters to analyze 6 real-time risk dashboards with sub-3-second response times. Automated cyber compliance validation workflows using Python, Shell scripting, and AutoSys/JIL, removing 14 manual control checks from nightly batch executions across regulated environments. Released containerized backend services through Kubernetes blue-green deployments with CloudWatch monitoring, maintaining uninterrupted availability across 11 production releases within active agile cycles. Tuned backend performance by refactoring Python-based data access logic and SQL queries, applying indexing strategies, and introducing pagination, stabilizing response latency under peak loads
Software Engineer at Goldman Sachs
September 1, 2024 - March 1, 2025Developed Python-based automation utilities for log analysis, diagnostics, and service health checks, accelerating root-cause identification across 22 high-priority production incidents in cloud-hosted backend platforms. Implemented Python batch scripts and operational tooling to analyze runtime metrics and validate system behavior, reducing manual investigation effort across 9 distributed backend services. Automated post-release data validation and reconciliation workflows using Python and SQL, ensuring accuracy across 35+ transactional tables supporting financial reporting and audit processes. Integrated Python utilities into containerized execution environments using Docker and Kubernetes, enabling consistent execution across development, QA, and production environments. Strengthened Java 17 Spring Boot microservices by enforcing Spring Security controls and secure coding standards, resolving findings across 9 production services.
Full Stack Developer at Epsilon
January 1, 2024 - September 1, 2024Engineered Python-based backend utilities and automation scripts to support customer data processing, validation, and API readiness, enabling delivery of 12 customer-facing features across marketing platforms. Orchestrated Python-driven ingestion logic and event-handling workflows integrated with Kafka pipelines, sustaining processing of 6 million customer interaction events per day across AWS-hosted distributed services. Automated secure API interactions and data access controls using Python services and scripting layers, enforcing RBAC across 7 internal platforms handling compliance-sensitive consumer datasets. Delivered React-based UI components integrated with backend APIs, enabling 3+ marketing and analytics user workflows to access customer insights through responsive, production-ready web interfaces. Streamlined build and deployment workflows by integrating Python-based checks and validation scripts into GitLab CI/CD pipelines, reducing release turnaround from 5 days to 36 hours
Software Developer at Robosoft Technologies
August 1, 2020 - July 1, 2022Implemented Python-focused backend utilities for transactional data processing, enabling reliable execution across 28 enterprise client applications deployed in high-availability production environments. Assembled Python-integrated UI logic aligned with RESTful APIs, ensuring consistent application behavior across 9 browser and device combinations used by global customer teams. Refined SQL queries and indexing strategies within relational databases, stabilizing execution performance for daily reporting workloads processing thousands of transactional records. Scheduled Python and Shell-driven batch workflows using AutoSys, maintaining uninterrupted execution for 17 nightly processing pipelines supporting time-sensitive business operations. Verified backend business logic and data processing routines using Python test scripts and unit-testing frameworks, identifying defects across 140 structured test scenarios prior to production deployment. Aligned development deliverables with product
Education
Master of Engineering in Science in Business Analytics at Clark University
August 1, 2022 - December 1, 2023Qualifications
AWS Certified Cloud Practitioner
January 11, 2030 - February 23, 2026Python Essential Training
January 11, 2030 - February 23, 2026Industry Experience
Software & Internet, Financial Services
Skills
Experience Level
Expert
Expert
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Intermediate
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