Sam
Senior Elasticsearch Engineer || Elastic-Stack Engineer || ELK Engineer || Grafana Admin || Splunk Engineer || Observability Engineer || Data Pipeline Engineer || Logstash|| Kibana || looking for C2C Contract roles
- Role
- Sr Software Engineer - Observability & Opensearch Expert at Goldman Sachs
- Location
- Jersey City, NJ, US
- LinkedIn followers
- 500 followers
About Sam
As a seasoned Elasticsearch Engineer with extensive expertise in designing and deploying scalable, high-performance solutions. Skilled in OpenSearch, Elastic Search, Apache Lucene, Hadoop, SQL, and HTML. I specialize in leveraging the ELK stack to optimize data management, security, and real-time analytics for enterprise-scale systems. My professional journey spans diverse industries, where I\'ve delivered robust log management, monitoring, and search solutions. Designed, deployed and scaled Prometheus architecture to handle 100+ million active series and beyond. Deployed and operated large, high-performance Elasticsearch clusters holding of data.Enhanced high-throughput data pipelines built on Kafka, handling hundreds of thousands of events per second. Designed and build an alerting system that allows engineering teams to construct alerts from multiple data sources and alerting workflows. Wrote libraries and APIs that give engineers self-service access to monitoring, logging, and other observability systems. Used Terraform to deploy public and private cloud infrastructure.With a strong foundation in Java and Python, I have architected and developed backend services that seamlessly integrate with Elasticsearch, enabling efficient querying, real-time data retrieval, and streamlined workflows. I excel in building advanced data ingestion pipelines, implementing query optimizations, and developing modular, reusable components to enhance system performance and scalability.
Experience
Sr Software Engineer - Observability & Opensearch Expert
Aug 2022 — Present · US
Responsible for designing, developing, and optimizing large-scale search and analytics solutions using the Elastic Stack (Elasticsearch, Logstash, and Kibana). My work enabled the ingestion, storage, and real-time analysis of massive volumes of data processing approximately 90 million documents daily across the bank to support advanced monitoring, search, and visualization needs for Goldman’s centralized databases.
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