Martin Lacombe

Analytics Engineer at Carrefour

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Martin Lacombe's Summary

Analytics Engineer with 8 years of experience ➤ ETL · dbt · Airflow ➤ Cloud Data Warehouse · BigQuery · Snowflake ➤ Data Pipeline (ETL · ELT · dbt · Airflow) - Design data flows and workflow orchestration - Develop the DAG · Data lineage · Data traceability - Automate tests to ensure data quality - Design monitoring and alert procedures - Reduce processing times and costs - Structure the pipeline (sources, staging, intermediate, marts) - Automate environment management (test and prod) - Continuously integrate (CI) and ensure versioning (git) - Document (architecture, models, processes, dictionary) ➤ Data Warehouse (Cloud Platforms · DWH · Data Warehouses) - Design and implement a Cloud Data Warehouse - Reduce Cloud Data Warehouse costs - Optimize performance (partitioning, clustering) - Design relevant data models - Secure data (IAM) ➤ Exploration · Preparation · Transformation · Analysis - Explore, clean, deduplicate, normalize, enrich - Conduct analyses (Data Mining, Text Mining…) - Identify actionable insights ➤ Business Intelligence · Visualization - Model and aggregate data according to needs - Provide segmentations, scores, and predictions - Make Data Marts available to different teams - Produce reports, dashboards, and analysis tools ➤ Project Management - Gather business requirements and use cases - Manage time and cost constraints ⚙️ dbt · Airflow · ETL Pipeline · Data Warehouse · BigQuery · Snowflake · SQL · Python · Dataiku 🚀 Want to work together? Contact me via message.