Aissam CHIA

Experience

• 

  ENSEIRB-MATMECA

  Sept 2018 - Feb 2021

  Étudiant
• 

  Atos

  Feb 2021 - Dec 2022

  - Led the design and implementation of Snowflake accelerators, including migration from on-premises to Snowflake, data sharing, and marketplace integration.- Proactively managed the Snowflake/AI internal community, keeping abreast of the latest technological developments and organizing workshops, presentations, and demos.- Spearheaded the migration of data pipelines from AWS to Snowflake, ensuring smooth and accurate data transfer and minimizing downtime.- Designed and integrated Snowflake into an existing Data Platform, improving data accessibility and streamlining the data analysis process.- Built and developed business models on Snowflake, using innovative solutions to optimize the use of data and create actionable insights.- Optimized data pipeline workloads, improving efficiency and reducing costs.- Conducted extensive benchmarking of AI tools that integrate with Snowflake. Show less

  • Data Engineer

    Aug 2021 - Dec 2022

  • Data Scientist

    Feb 2021 - Jul 2021
• 

  Sanofi

  Apr 2022 - Dec 2022

  Data Engineer

  - Designed the technical architecture for the initial data loading process, resulting in improved efficiency and accuracy of data handling.- Enhanced the performance of the initial load of customer data by developing a Python solution that leveraged async requests, resulting in faster processing times and improved data quality.- Conducted thorough data analysis to identify data quality issues and implemented data cleansing and standardization operations to ensure data accuracy and consistency.- Built and implemented complex data models in DBT, including a recursive model to compute KPIs in a genealogy graph, resulting in a more robust and accurate data analysis process.- Managed the deployment and ongoing maintenance of the data engineering solution, ensuring smooth operation and minimal downtime. Show less

• 

  KPC - KEY PERFORMANCE CONSULTING

  Jan 2023 - Apr 2023

  Data Engineer

  - Designed and developed complex data models in Snowflake using SQL, leveraging advanced features such as window functions and recursive queries to accurately capture and analyze large datasets.- Optimized the performance of data models by analyzing and fine-tuning SQL queries, ensuring efficient processing and minimizing latency.- Conducted thorough data quality analysis to identify and address data inconsistencies, working with stakeholders to establish data cleansing and standardization protocols.- Developed and implemented data cleansing and standardization procedures, improving data accuracy and consistency across multiple systems and data sources.- Worked closely with stakeholders to understand business requirements and translate them into actionable data models, ensuring that data analysis accurately reflected the needs of the organization. Show less

• 

  Air Liquide

  May 2023 - now

  - Guided and supported a team of data lake engineers by facilitating their understanding of advanced big data concepts and assisting with complex tasks.- Contributed to the design and deployment of a global-scale machine learning solution that enhanced the group's revenue optimization.- Leveraged Apache Iceberg to optimize CPU and memory-intensive Apache Spark workloads through advanced techniques like SPJ.- Established DataOps CI/CD pipelines to streamline release cycles while maintaining data integrity.Automated migration processes using scripting to improve efficiency. Show less - Developed a Global Core Data Model: Spearheaded the development of a robust Core Data Model for a high-impact IoT project, spanning all AirLiquide factories worldwide. Ensured seamless data integration and standardization across diverse factory locations.- Optimized Data Processing Workflow: Streamlined data processing by expertly optimizing SQL queries and implementing efficient Spark partitioning techniques. Resulted in significant performance improvements, enabling faster insights and data-driven decision-making.- Cost Optimization and Resource Management: Reduced operational costs by fine-tuning instance types, optimizing instance sizes, and strategically adjusting core/task nodes. Achieved optimal resource utilization without compromising on performance.- Resilient Solution Architectures for Cost and Time Reduction: Presented resilient solution architectures to minimize overall costs and data processing time while having a robust archival and failover mechanisms.- Automated API Development Release Process: Spearheaded the automation of the API development release process, reducing time-to-market and increasing overall development efficiency.- Handling Large-Scale IoT Data Ingestion: Successfully managed the ingestion of data from millions of sensors, each transmitting data every minute. Show less

  • Software & Data Engineer

    Feb 2025 - now

  • Technical Lead Data

    Aug 2023 - Mar 2025

  • Data Analytics Engineer

    May 2023 - Aug 2023