Ayush Gupta — Senior Software Engineer

I've worked across a wide range of domains and problem spaces and can quickly learn and adapt to new environments and tools. I've worked with a variety of tools in the past: Java, Python, JavaScript, SQL, Mongo, Kubernetes, Docker, Datadog, Grafana, ELK, NodeJS, Express, Spring, Kafka, Snowflake, React, AWS services, etc. I'm familiar and have worked following areas: Microservices, Event Driven Systems, Data Pipelines, Data Lakehouse, Cloud Native Architecture, Scaling, Distributed Systems, Observability, etc. At Atlassian, I'm currently working on a re-architecture project which involves scaling one of our product offerings to optimise performance and costs. I've worked on the following as part of this project: - Sharding 2 microservices across regions and within the region. - PoC for data migration between different shards to move data from old to new architecture - Shard rebalancing by doing tenant migrations across shards. In the past at Atlassian I've worked on: - Work on Cloud to Cloud data migrations for JSM. - Led design and implementation of SLA breach based automations. - Implemented calendar file imports for adding holidays for SLAs. - Build and maintain metric dashboards, alerts, etc. for microservices getting ~500M calls/day. At Compass, I was a part of Data ingestion team working on data pipelines. Contributions as part of this team: - Designed and led implementation of Agent data pipeline from old batch based Airflow job to microservice based pipeline. - Improving resiliency and observability of data pipelines - Improving data quality and timeliness metrics At Arcesium, I worked in multiple teams under Transactions and Reference Data org. Some of my main contributions include: - Designing an extensible attribute system that can be used to add new attributes to any entity across the platform. Used this system to store a Hierarchical Company DB. - Integrating multiple 3rd Party Data Providers(Pricing, Corporate actions, Securities data) in our application to consume & process data and provide it to downstream applications. - Building a self serviceable validation framework for validating any entity's data against configured rules. - Adding metric collection and alerting using Datadog at critical points in multiple applications to identify bottlenecks, SLIs/SLOs, monitor app health and gain insight about performance of critical flows throughout apps.

Stackforce AI infers this person is a SaaS and Fintech expert with strong capabilities in data engineering and microservices.

Location: Indore, Madhya Pradesh, India

Experience: 7 yrs 9 mos