Sonali Singh

About Sonali Singh

Technology has always fascinated me—especially how data flows, systems interact, and applications function at scale. I hold a Master’s in Information Systems from Northeastern University and a Bachelor’s in Computer Science from Vellore Institute of Technology, where I built a strong foundation in Data Structures & Algorithms, Object-Oriented Programming, and Cloud Infrastructure.I started my career at Siemens Technology and Services, working on.NET Core, Java, and Azure Cloud, managing web services, orchestration platforms, and automation using Bash scripts. My growing interest in cloud computing and system design led me to pursue my master’s, where I gained expertise in full-stack development, cloud engineering, and database design.Currently, I work as an Observability Engineer at Barclays, where I design and manage data ingestion pipelines from various systems and applications into Elasticsearch. I leverage Kafka, Logstash, Python, and Chef Cookbooks to optimize data collection and routing. Additionally, I’ve automated ESAAS onboarding with Python, improving efficiency by 42%, and containerized Logstash on EKS, enhancing scalability and reliability. These efforts have helped reduce Major Incident Management (MIM) resolution time through full-stack observability solutions.Technical Expertise Programming/Scripting: Python, Java, C#, JavaScript, Node.js, Bash Frontend Technologies: HTML5, CSS3, SCSS, React.js Database Management: SQL, NoSQL, MongoDB, Azure Blob, PostgreSQL Cloud & Infrastructure: AWS, Microsoft Azure Cluster Management: Docker, Kubernetes Observability & Monitoring: Elastic Stack (Elasticsearch, Logstash, Kibana), Apache Kafka Version Control & IDEs: Git, Source Tree, Visual Studio, IntelliJ, Postman Soft Skills: Problem-Solving, Critical Thinking, Business Requirement Gathering, Team CollaborationLet’s connect! Reach out at: s••••••••@gmail.com

Experience

1. Software Infrastructure Engineer

   Barclays

   Jul 2023 — Present · US

   Designed and deployed enterprise-scale full-stack observability platforms integrating application logs and system metrics, improving service reliability and reducing Major Incident (MIM) resolution time by 12%• Built cloud-native data ingestion pipelines using Python and Kafka to extract telemetry from low-latency, high-throughput environments, enabling enterprise observability across complex distributed architectures• Engineered and containerized a FastAPI-based onboarding automation platform for ESAAS, eliminating manual onboarding workflows, reducing operational errors, and improving onboarding efficiency by 42% across multiple internal teams• Automated AWS product provisioning workflows by developing a Python-based service integrated with GitLab CI/CD and audit logging, improving governance, traceability, and reducing operational risk• Spearheaded OpenTelemetry (OTel) containerization on AWS EKS, modernizing ingestion pipelines and establishing a scalable observability layer to replace legacy Logstash-based infrastructure• Developed observability tooling for office Wi-Fi and network security monitoring, enabling detection of rogue devices and abnormal network activity, contributing to resolution of a critical ORAC security incident• Collaborated cross-functionally with network, storage, platform, and application teams to design monitoring POCs, integrate diverse telemetry sources, and deliver production-ready observability solutions• Implemented containerized deployment patterns and CI/CD automation to improve platform scalability, resiliency, and deployment consistency across environments

Education

• Vellore Institute of Technology

  Bachelor of Technology, Computer Science

  2014 — 2018

• Northeastern University

  Masters of Science, Information Systems