ASI is a 200–500-person IT services firm built around Java backends, Microsoft stack (SQL Server, Power BI, Azure DevOps), and modern data infrastructure (Databricks, Snowflake, Kafka, dbt, Apache Spark). The tech blend—enterprise databases paired with ML frameworks (TensorFlow, PyTorch) and workflow orchestration (Airflow)—reflects a shift from traditional SI consulting toward data-driven outcomes. Active projects span core banking system overhauls, regulatory compliance automation, and post-acquisition IT integration, with hiring concentrated in senior engineering and product roles in France.
Notable leadership hires: Lead Java
ASI, founded in 1993 and based in Saint-Herblain, France, provides IT services and data engineering to mid-market and large enterprises, with particular strength in financial services and public sector. The company operates across three pillars: legacy system modernization (core banking, post-M&A integration), business intelligence and analytics (Power BI, Tableau, Databricks), and data pipeline architecture (Kafka, Snowflake, dbt, Airflow). Internal challenges center on balancing delivery capacity, scaling data pipeline throughput, and maintaining profitability on client engagements—typical pain points for hybrid consulting-product organizations.
Java, SQL Server, Power BI, Azure DevOps, Databricks, Snowflake, Kafka, dbt, Apache Spark, TensorFlow, PyTorch, and Airflow. The mix spans enterprise databases, cloud analytics, and ML frameworks.
Yes. Both appear in the active stack, alongside Kafka and Apache Spark, indicating a focus on large-scale data pipelines and cloud-native analytics infrastructure.
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