Alex Lajoie

Led the design and implementation of a Databricks-based Data Lakehouse architecture within Microsoft Azure, establishing an AI/Data Center of Excellence. Developed native Databricks components for data pipelines, collaborative workspaces, and access governance, ensuring performance, traceability, and security.

Directed a strategic project to securely migrate sensitive credit card data from on-premises servers to Azure Cloud, adhering strictly to PCI DSS standards. Designed and implemented robust security measures, including data encryption, granular access controls, and continuous monitoring, ensuring data protection and integrity.

Developed a sensitive data classification tool for a public department, focusing on sorting, classifying, and securing large amounts of sensitive data. Applied TOGAF 9.2 methodology to define architectural vision, scope, and assess existing and target architectures.

Managed the migration of Oracle data and automated database processes to support on-premises ETL systems, leading a major upgrade to an Azure cloud automation solution. Centralized the organization's data infrastructure to eliminate silos and data loss across global agencies.

Provided professional and technical support for digital transformation and ETL implementation in an Azure Cloud environment using Data Factory. Improved data management and understanding by designing data models for complex analysis and establishing enterprise-wide data analytics frameworks.

Managed and developed the architecture of a web application utilizing a health algorithm based on blood biomarkers, including the creation of a Python web application for funding. Designed the data flow automation environment, pipelines, SQLite database, Azure architecture, and cybersecurity strategy.

Improved the E-Learning application infrastructure in an Azure cloud solution, transitioning from a production test environment. Developed and debugged functionalities, and managed database performance and dimensional model deployment for KPI reporting.

Integrated into the BI Product team to support on-premises BI systems and upgrade the company's BI and Analytics architecture to a cloud solution. Centralized the data infrastructure to eliminate data silos, utilizing Azure SSIS for development and migration.

Developed various personal and commercial projects, including web applications in SAAS and backend modes, and machine learning models and algorithms. Created data-centric BI solutions and developed agnostic data extraction processes for ETL processing across diverse database types.

Managed commercial accounts with financing ranging from 1 to 3 million, demonstrating strong financial acumen and client relationship management. Applied business knowledge to support client needs and contribute to account growth.

Obtained a Bachelor's degree in Administration with a focus on finance. This program provided a strong foundation in financial principles and administrative practices.

Completed the ML A1 101 certification. This program focused on machine learning concepts and applications.

Achieved Academy Accreditation as an Azure Databricks Platform Architect. This certification validates expertise in designing and implementing solutions on the Azure Databricks platform.

Completed the Academy Accreditation for Platform Administrator. This accreditation demonstrates proficiency in administering the Databricks platform.

Completed the Business Intelligence Foundation Professional Certification (BIFPC™). This certification focuses on foundational principles of business intelligence.

Completed combined training for TOGAF® 9.2 levels 1 and 2. This training provides comprehensive knowledge of the TOGAF framework for enterprise architecture.

Achieved Databricks Accredited LakeHouse Fundamentals. This accreditation covers the fundamental concepts of the Databricks LakeHouse platform.

Completed the DataOps Methodology course from Cognitive Class. This course provides insights into DataOps principles and practices.

Completed a cognitive course on Machine Learning with Python. This course enhanced skills in applying machine learning algorithms using Python.

Completed The Practical BPMN 2.0 Master Class. This master class provided practical knowledge and skills in BPMN 2.0.