Anmol
Noida, Uttar Pradesh, India
Experience: 5 years
Open to: Full-Time, Part-Time
Education: Bachelors
Availability: Immediate
Skills: Active Directory, Ansible, Automation Anywhere, AWS, Django, Docker, GCP, Git, Go, Grafana, Java, JavaScript, Jenkins, Jira, jQuery, jUnit, Kafka, Kubernetes, LLMs/ChatGPT, MongoDB, MySQL, Node.js, Oracle, PostgreSQL, Postman, PowerShell, Problem Solving, Python, Python3, Redis, Spring/Spring Boot, Terraform
Previously worked at: IT Service Companies
Assessment Score: 75
- Proven DevOps Expertise: Accomplished DevOps and Data Integration Engineer with 4.5+ years of experience in cloud infrastructure, CI/CD pipeline implementation, and data integration. Skilled in managing mission-critical deployments using AWS, Terraform, Kubernetes, and Apache NiFi.
- Data Integration & Automation Specialist: Successfully streamlined ETL processes and real-time data operations using Apache NiFi and AWS services, resulting in a 90% reduction in customer costs and a 150% increase in data processing efficiency through Python-based scripting and automation.
- Cloud Cost Optimization & Efficiency: Demonstrated expertise in reducing AWS cloud expenses by 60% through cost-control measures, including Lambda functions to manage idle resources and lifecycle policies for S3. Engineered infrastructure automation to cut setup time by 80%.
- Technical Expertise: Proficient in a diverse range of technologies, including Python, Java, Groovy, Jenkins, Apache Superset, Kafka, Redis, Docker, Prometheus, and Grafana, ensuring robust system monitoring, scalability, and operational insights for 20+ clients.
- Soft Skills & Collaboration: Known for teamwork, time management, and effective communication, with a track record of leading initiatives, presenting actionable insights, and collaborating cross-functionally to deliver scalable, efficient solutions.
- Certifications & Achievements: Recognized with AWS Cloud Practitioner Certification and other prestigious accolades. Consistently delivered performance improvements, achieving deployment time reductions, operational cost savings, and enhanced system reliability.