Gaurav Kaushal

- Own day-to-day AWS infrastructure, CI/CD, and multi-environment production releases end to end, working directly with the CTO.
- Lead Kubernetes runtime security hardening, implementing Monitoring to strengthen production security posture.

- Manage 100+ on-premises physical servers while also supporting hybrid environments across AWS and Azure
- Debug and resolve critical server issues, ensuring high availability and system stability.
- Oversee CI/CD pipelines, deployments, artifact management, and releases to streamline delivery across multiple platforms.
- Implement and maintain cloud infrastructure on AWS (EC2, S3, IAM, VPC, EKS)

- Cloud & Infrastructure: Designed, implemented, and managed cloud infrastructure using AWS (EC2, S3, RDS, Lambda, IAM, Route 53, etc.).
- CI/CD & Automation: Built and maintained CI/CD pipelines with Jenkins, GitHub Actions, and CircleCI to automate deployments for microservices-based applications.
- Containerization & Orchestration: Deployed and managed containerized applications using Docker an

- Team Leadership: Led a team of 5+ data analysts, mentoring them on data modeling, ETL pipelines, and dashboard development.
- Client Interaction: Acted as the primary customer-facing data expert, gathering requirements, presenting insights, and recommending data-driven strategies.
- Data Pipeline Automation: Designed and optimized ETL workflows using Python, SQL, and AWS Glue, reducing manual ef

- Data Processing & Transformation: Developed and optimized SQL queries to process large datasets efficiently in MySQL, PostgreSQL, and AWS RDS.
- Statistical Analysis: Used Python (Pandas, NumPy, SciPy) for exploratory data analysis (EDA) and hypothesis testing.
- Predictive Modeling: Built linear regression and classification models to improve customer segmentation and product recommendations.
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-Utilized data analysis tools such as Tableau, Looker, and Microsoft Excel to process and analyze large datasets, ranging from 10,000 to 1 million records, resulting in improved data insights and recommendations.
-Programmed in Python and R to perform predictive modeling, resulting in accurate sales, product values, and product reach predictions with up to 90% accuracy using linear regression.
-Cr

Pursued a Bachelor of Technology in Computer Science, building a strong foundation in software development and engineering principles.