user1287568
I'm a DevOps and Data Engineer with over nine years of experience in infrastructure automation, cloud architecture, CI/CD pipelines, and data engineering.
About
I’m a DevOps and Data Engineer with over nine years of experience in infrastructure automation, cloud architecture, CI/CD pipelines, and data engineering. I excel at building resilient, scalable systems using AWS, Terraform, Docker, Kubernetes, and orchestration tools, while applying best practices in security and reliability. I thrive in fast-paced environments and enjoy turning complex technical challenges into practical, data-driven solutions. In consultancy roles, I’ve guided teams and clients on governance of cloud-based solutions, balancing delivery with governance and risk management while collaborating across cross-functional teams.
- 2 years' experience
- Joined November 2025
Skills· 14
Languages
- EnglishFluent
- FrenchFluent
- RussianBeginner
- ArabicFluent
Industry experience
- Professional Services
- Software & Internet
- Computers & Electronics
Work experience· 5 roles
Led data science and data engineering work for a chemical sector client: developed ETL pipelines, data lakes, ML models for customer support and product recommendations, and deployed them via ML workflow tooling; implemented CI/CD workflows.
Senior DevOps/Data Engineer responsible for governance of the global infrastructure for McKinsey solutions, leveraging AWS services, Terraform, Docker, Kubernetes, Kafka, and CI/CD pipelines to move data securely and reliably across cloud environments.
Developed ML models for e-commerce use cases, set up data pipelines from various data sources to S3, built Airflow DAGs for data cleaning and processing, performed offline checks and code refactoring; implemented DBT and deployment processes.
Education
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