Available to hire
Backend Engineer with 4+ years of experience building scalable, cloud-native applications for fintech, enterprise, and government sectors. Skilled in Python, Go (Golang), and Java/Spring Boot to build secure REST APIs, high-performance microservices, and ETL pipelines.
Hands-on expertise across AWS and Azure, with strong background in PostgreSQL, MongoDB, Redis, and performance optimization. Experienced in OAuth2/JWT-based security, Docker/Kubernetes/Terraform, and observability (Prometheus, Grafana, ELK, Splunk) to deliver reliable systems with high uptime and reduced latency.
Work Experience
Backend Engineer – Featured Funds API & Data Platform at JP MorganChase
January 1, 2025 - PresentDesigned and deployed Python-based ETL pipelines on AWS (EC2, S3, RDS) and Azure data services to ingest, normalize, and validate mutual fund and ETF data, enabling nightly refreshes and reducing stale data incidents by 90%. Developed and maintained scalable microservices in Go and Java/Spring Boot, containerized and orchestrated via AWS ECS and Azure AKS, delivering APIs handling 10K+ requests/min with advanced filtering and search. Implemented secure authentication using OAuth2, ADFS, and Azure Active Directory; improved token renewal success rate from ~90% to 98%. Optimized backend performance using concurrent processing, PostgreSQL indexing, and MongoDB query tuning to reduce median latency by 50% and keep responses under 200ms at scale. Enhanced caching with Redis, built observability with Prometheus/Grafana/Splunk/CloudWatch (70% lower incident volume; 60% MTTR improvement), and established data validation frameworks with reconciliation/anomaly detection to reduce manual remediat
Software Developer – Cloud, API and Data Engineering at Version 1
February 1, 2020 - July 1, 2023Developed and maintained backend services and APIs in Python and Go, integrating REST and gRPC for large-scale applications across finance, healthcare, and government. Built and optimized cloud-native data pipelines on AWS (Lambda, S3, RDS, ECS) and Azure (Data Factory, Blob Storage, AKS) for real-time and batch ingestion from third-party sources. Implemented OAuth2/JWT and Azure AD authorization with RBAC to meet ISO27001 and GDPR requirements. Created CI/CD pipelines using Jenkins, GitHub Actions, and Azure DevOps to automate builds/tests/deployments for microservices on ECS and AKS. Improved scalability using Redis caching, Celery-based asynchronous processing, and SQL optimization for PostgreSQL/MongoDB, reducing response times by 40%. Deployed and monitored production workloads using Prometheus, Grafana, ELK, and CloudWatch, improving detection/resolution by over 50%. Worked in Agile teams with sprint planning, code reviews, and end-to-end testing to deliver high-availability plat
Education
Master’s in Computer and Information Technology at Southern Arkansas University
August 1, 2023 - May 1, 2025Bachelor’s in Electronics and Communication Engineering at KL University
June 1, 2017 - May 1, 2021Qualifications
Python Data Structures
January 11, 2030 - July 15, 2026AWS Academy Cloud Foundations
January 11, 2030 - July 15, 2026Data Warehousing for Business Intelligence Specialization
January 11, 2030 - July 15, 2026Data Engineering Professional Certificate (IBM)
January 11, 2030 - July 15, 2026Industry Experience
Financial Services, Government, Software & Internet, Healthcare
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