VIKRAM JOTHIK MATETI
Houston, TX +1-281-***-**** ************@*****.*** www.linkedin.com/in/mateti-jothik www.github.com/vikramjothikmateti SENIOR CLOUD & DEVOPS ENGINEER DATA INFRASTRUCTURE ENGINEER PROFESSIONAL SUMMARY
Results-driven Cloud and DevOps Engineer with 5+ years of experience designing, automating, and optimizing large-scale cloud infrastructures and real-time data systems across Azure, AWS, GCP, and Kubernetes environments. Expertise in container orchestration, observability frameworks, and cost optimization strategies that have reduced infrastructure expenses by up to 90%. Proven success in building resilient, secure, and scalable microservices architectures supporting enterprise analytics and machine learning workloads. CORE COMPETENCIES
• Programming: Python, Java, TypeScript, SQL, Shell, Bash, Go
• Cloud Platforms: AWS (EKS, EC2, S3, RDS, IAM, VPC, Lambda), GCP, Azure
• DevOps Tools: Docker, Kubernetes, Terraform, Jenkins, Harness.io, ArgoCD, FluxCD, Helm, Ansible
• Observability: Grafana (LGTM Stack), Prometheus, Mimir, Loki, Tempo, KubeCost, Fluent Bit
• Data Platforms: Apache Kafka, Druid, Flink, Iceberg, Hadoop, RedPanda, SQL Server, Oracle, Power BI
• Networking & Security: Istio, Calico, mTLS, SSO, LDAP, Azure AD, VPC Design, IAM Policies
• ML & AI: TensorFlow, Keras, NLP, Transformers, GenAI, Deep Learning, Data Modeling
• CI/CD & IaC: GitHub Actions, Terraform, Jenkins, Harness.io, Infrastructure as Code, Continuous Deployment PROFESSIONAL EXPERIENCE
Software Data Engineer – Harris County (U.S. Government) Houston, TX Jan 2025 – Present
• Designed and automated SQL Server–based data pipelines processing millions of tax filing records, improving reporting speed by 40%.
• Built Power BI dashboards for county-wide tax analytics, enabling data-driven decision-making for audit and compliance units.
• Led Oracle-to-SQL Server migration with SSIS automation, ensuring real-time batch updates and minimal downtime.
• Engineered ETL frameworks and optimized stored procedures, reducing daily batch processing time by 30%.
• Automated data ingestion workflows using Python and SQL, improving reliability and reducing manual operations. Software Development Engineer – ZopSmart Technologies (McAfee) Bangalore, India Jan 2022 – Dec 2023
• Automated AWS infrastructure provisioning (EKS, EC2, S3) using Terraform, reducing manual deployment errors by 70%.
• Developed CI/CD pipelines using Harness.io, cutting deployment time by 40% for containerized microservices.
• Integrated Istio service mesh for secure traffic routing and observability, managing over 1,000 microservices with mTLS enforcement.
• Enhanced cluster security by implementing Calico network policies to isolate workloads and mitigate attack surfaces.
• Built enterprise observability platforms using Grafana, Prometheus, Loki, Tempo, Alloy and Mimir, achieving 99.9% uptime for production services.
• Drove cloud cost optimization via KubeCost and Thanos, reducing AWS monthly spend from $50K to $4K while sustaining performance.
• Implemented chaos engineering practices using Chaos Monkey to proactively identify infrastructure weaknesses before production impact. Software Engineer – Oracle (Consultant)
India Aug 2019 – Dec 2021
• Developed microservices and ETL pipelines in Python and SQL supporting 2TB+ datasets.
• Automated CI/CD processes using Terraform and GitHub Actions increasing release efficiency by 95%.
• Integrated Oracle Cloud Infrastructure metrics with Prometheus to improve cloud performance monitoring.
• Built scalable backend services and optimized compute workloads to reduce runtime by 20%. EDUCATION
Master of Science in Engineering Data Science, University of Houston, TX GPA: 3.5/4 Dec 2025 Bachelor of Science, Amity University, Noida, India GPA: 3.6/4 Jul 2019 CERTIFICATIONS
• Oracle Gen AI Professional Certificate (OCI), 2024
• Oracle Cloud Infrastructure Foundations, 2024
• Oracle AI Foundations Associate, 2024
• Cisco Certified Network Associate Industrial (CCNA), 2020
• Cyber Security Foundations Professional Certificate, 2021
• NVIDIA 'Getting Started with Deep Learning', 2025 PROJECT HIGHLIGHTS
• Cloud Observability Platform – Designed Grafana + Prometheus monitoring stack for 1,000+ microservices, enabling real-time tracing and cost control.
• AWS Cost Optimization Framework – Reduced AWS expenses by 90% through Terraform automation and KubeCost analytics.
• High-Throughput Data Pipeline – Built Kafka-Druid streaming platform for real-time analytics, managing over 100TB+ data efficiently. REFERENCES
Mr. Mohammad Khalid Ahmad (Manager Software Engineering) @ McAfee, ********.******.*****@******.***, Bangalore, India Mr. Kumarasamy Ramasamy (Software Development Engineer) @ Deutsche Bank, Cary, North Carolina, United States Mr. Vishnu Pradeep T (Sr. Site Reliability Engineer) @ Oracle, ******.*@******.***, Bangalore, India Mr. Leuchtag, Clyde (Deputy Division Director) @ Harris County U.S. Gov., *****.********@**************.***, Houston, Texas, U.S.