CHOKKANI JANARDAHN

– Designed, developed, and deployed Machine Learning and AI models addressing logistics, operational, and commercial use cases within CMA CGM. – Leveraged Snowflake Data Cloud as the central platform for data engineering and AI workloads. – Implemented data processing and feature engineering pipelines using Snowpark (Python) and advanced SQL. – Built and industrialized end-to-end ML pipelines including training, validation, deployment, and monitoring. – Developed User-Defined Functions (UDFs) to embed ML logic directly within Snowflake. – Applied MLOps best practices to ensure model reproducibility, scalability, and lifecycle management. – Optimized performance and cost of data transformations and ML workloads on Snowflake. – Ensured data quality, security, and governance in line with CMA CGM enterprise standards. – Collaborated with data engineers, product teams, and business stakeholders to translate operational challenges into AI solutions. – Contributed to Data & AI standards, documentation, and best practices at Group level.

Owned the design and delivery of a secure, compliant Azure data integration and analytics platform within a highly regulated public-sector environment. – Architected secure enterprise data pipelines using Azure Data Factory and Databricks, integrating finance, HR, and operational systems. – Implemented data governance, lineage, and role-based access controls (RBAC) to meet HMRC security, audit, and compliance requirements. – Led and mentored a team of data engineers, establishing engineering standards and improving delivery velocity. – Collaborated with senior policy and operational stakeholders to translate complex regulatory requirements into practical technical solutions. – Oversaw third-party vendor integrations and ensured delivery within strict governance frameworks. – Enabled trusted analytics and reporting through Azure SQL/Synapse and Power BI, supporting faster operational and policy decision-making. – Snowflake was used as a high-performance, secure data platform to process, store, and analyze large-scale, transaction-based HMRC data, enabling near real-time reporting, analytics, and regulatory compliance at enterprise scale.

Project Overview Led the design and delivery of a Snowflake-based analytics and data enablement platform for Sanofi, supporting global commercial, clinical, and operational analytics. Provided strategic and technical leadership to enable secure, compliant, and scalable data access across the organization. – Architected a Snowflake-based analytics platform to support clinical, pharmacovigilance, and commercial analytics, leveraging Snowflake capabilities such as zero-copy cloning, secure data sharing, and workload separation. – Designed a multi-cloud architecture (Azure with AWS integrations) to support global research and commercial teams, implementing infrastructure-as-code (Terraform) to standardise deployments across regulated environments. – Led the design of a modern data warehouse integrating clinical trial data, real-world evidence, and commercial datasets, applying best practices in database modelling and distributed data processing. – Implemented secure and auditable data ingestion and transformation pipelines, enabling reliable analytics while maintaining full traceability for regulated workloads. – Integrated Snowflake with Power BI, Tableau, and data integration tools, enabling governed data exploration and advanced analytics across business and research teams. – Designed and implemented data security, governance, and compliance frameworks, including fine-grained access controls, data masking, lineage, and auditing to meet GxP, GDPR, and internal compliance requirements.