Utkarsh Dixit

• Directed engineering teams across DevOps and Cloud Infrastructure, ensuring high-impact outcomes.
  Transitioned into leadership of the Data Engineering team while managing DevOps operations.
• Established a scalable data engineering function in India, leading a team of five engineers.
  Designed cloud-native ETL pipelines utilising Apache Beam, Dataflow, Datastream, and GCP BigQuery.
  Facilitated data workflows that supported annual recurring revenue exceeding $400 million.
• Participated in strategic planning impacting over 150 engineers company-wide.
• Spearheaded the restructuring of the DevOps team into focused sub-teams for enhanced service delivery.
  Drove alignment between technical initiatives and business goals to promote efficiency and innovation.

• Directed globally distributed teams to construct scalable cloud infrastructure and ML platforms.
  Drove a team of 10 engineers in enhancing performance and reliability for services on AWS EKS.
• Engineered multi-account AWS environments using Terraform and Atlantis, cutting provisioning time by about 60%.
• Achieved approximately 32% savings in cloud costs through strategic planning and automation strategies.
  Established disaster recovery protocols with multi-region AWS failover designs to maintain business continuity.
  Managed secure multi-cloud data transfers via AWS DataSync for a $10–15M ARR data collection venture, focusing on security compliance.
• Developed MLOps infrastructure for deploying LLMs on GPU-based EKS clusters while implementing autoscaling capabilities. Conducted a proof of concept (POC) to optimise GPU resource utilisation through time-slicing techniques.
• Created semi-automated CI/CD pipelines to facilitate the continuous delivery of machine learning workloads.

• Contributed significantly to the DevOps team, focused on enhancing infrastructure efficiency and platform reliability.
  Led EKS cluster upgrades and security audits, including ECR scans and GuardDuty findings.
• Implemented DevSecOps practices with HashiCorp Vault to reduce vulnerabilities in sensitive data management.
  Achieved 20–25% reduction in infrastructure costs by automating RDS partitioning and S3 backups.
  Introduced BI dashboards for enhanced visibility into project-level resource consumption impacting operational ROI.
• Proactively monitored key infrastructure metrics, executing strategies to mitigate downtime effectively.
  Utilised AWS, Kubernetes, Helm, Docker, CircleCI, and Jenkins to optimise CI/CD processes.
  Improved system reliability contributes to ARR protection through enhanced uptime measures.

• Managed core systems—Catalogue and Inventory/Pricing—for ASDA at Walmart, serving the UK grocery market.
• Designed and validated large-scale data ingestion pipelines leveraging Kafka and Spark technologies.
  Prioritised ETL operations and conducted thorough functional testing for quality assurance.
• Engineered E2E API automation alongside CI/CD pipelines that included rollback capabilities.
  Established a Spring Boot service for providing dynamic test data as a service.
• Exhibited strong leadership while overseeing a team of 4–5 engineers within the retail sector.
  Enhanced data processing workflows through strategic pipeline improvements.

Provided superior, human-curated training data for computer vision, specializing in self-driving car technologies.
Enabled machines to see, think, and decide through comprehensive human-powered training methodologies.

Gaana is a commercial music streaming service company. Worked on various projects, like Gaana Search, the recommendation system, and Gaana Social. I gained hands-on experience in API automation.

Developed and implemented web-based solutions on 99Acres, focusing on UI automation with Selenium.