Abdul Malik Mohammed Email & Phone Number

• Enthusiastic Azure Data Engineer with nearly 2 year of experience in designing, developing, and optimizing data solutions in Azure environments ensuring scalable and efficient data workflows• Proficient in designing and implementing advanced data integration solutions leveraging Azure Data Factory for orchestrating ETL/ELT processes and Azure Databricks for distributed data processing • Extensive experience in large-scale data processing and transformation using PySpark in Azure Databricks, enabling high-performance data analysis and enhancing data processing capabilities across datasets• Seasoned in managing relational databases including Azure SQL Database, Azure Cosmos DB, and Azure Data Lake Storage (ADLS), ensuring efficient data storage, retrieval, and security of big data architectures• Competent in leveraging Azure Synapse Analytics to design and implement scalable data warehousing solutions, integrating data from multiple sources and enabling high-performance analytics• Detail-Oriented in optimizing data models and query performance in Snowflake, utilizing features like micro-partitioning, clustering, and materialized views to ensure high-performance analytics and data processing • Leveraged Python and SQL for data extraction, transformation, and loading (ETL) processes, writing complex SQL queries for data manipulation and integrating Python scripts in Azure Data Factory and Databricks • Knowledgeable in securing sensitive data with Azure Key Vault, for managing secrets, encryption keys, and certificates to secure sensitive data and ensure compliance with industry security standards• Technical experience in monitoring and analyzing system performance with Azure Monitor, and Application Insights, proactively addressing performance bottlenecks and ensuring high system availability• Good in creating insightful, interactive reports and dashboards using Power BI, enabling business stakeholders to visualize and analyze complex datasets through intuitive interfaces that drive data-informed decision-making• Results-oriented in using Jira and Confluence for effective project management, issue tracking, and collaboration on data engineering projects, ensuring seamless documentation in Agile environments

• 

  Azure Data Engineer

  Englobe

  May 2023 - Present - Ontario, Canada

  • Assisted in designing and implementing data pipelines using Azure Data Factory to automate data integration processes and support ETL workflows• Managed and optimized Azure SQL Database instances by performing performance monitoring, query optimization, and troubleshooting to ensure high availability and data integrity• Contributed to the setup and maintenance of Azure Synapse Analytics, for the establishment of robust data warehousing solutions and facilitating large-scale data analysis across the organization• Supported the development and optimization of ETL processes to ensure seamless data flow, enhancing data quality, and ensuring timely data availability for downstream analytics and reporting• Learned about Securing critical data assets by implementing Azure Key Vault for the management of encryption keys and secrets, ensuring compliance with data security standards across multiple Azure services• Monitored and maintained data pipeline performance using Azure Monitor, identifying performance bottlenecks and implementing proactive fixes to ensure operational reliability and data processing efficiency• Developed data transformations using Azure Databricks and PySpark, enabling advanced data processing on large datasets, and providing insights for strategic decision-making• Automated data processing tasks and developed custom scripts for data extraction and transformation using Python and SQL, resulting in improved workflow efficiency and reduction of manual errors• Documented the data ingestion processes using Azure Event Hubs to capture, process, and store streaming data for real-time analytics, enhancing decision-making capabilities through up-to-date insights• Implemented secure data sharing solutions in Snowflake, enabling cross-departmental data collaboration while maintaining data governance and compliance with organizational security protocols