cloud data engineer resume example with 13+ years of experience
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Highly skilled Azure Data Engineer with over 10 years of experience designing, developing, and implementing data solutions in the Azure environment. Proficient in Azure services such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Analysis Services, and Azure SQL Database. Possess expertise in ETL, data warehousing, data modeling, data migration, and data integration. Excellent communication skills and the ability to collaborate effectively with cross-functional teams.
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- Designed and developed ETL processes using Azure Data Factory and Azure Databricks to extract data from various data sources and load into Azure Synapse Analytics.
- Built data models and implemented data warehousing solutions using Azure Synapse Analytics and Azure Analysis Services.
- Conducted data migration from on-premises data centers to Azure using Azure Data Factory and Azure Database Migration Service.
- Developed data integration solutions using Azure Event Grid and Azure Logic Apps.
- Collaborated with cross-functional teams to understand business requirements and provided data solutions to meet their needs.
- Managed Azure resources and monitored Azure services to ensure optimum performance.
- Develop data pipeline in ADF to load from universal data lake to business data lake
- Build Data Storage solution with SQL Server and data lakes
- Develop Data pipelines in ADF to load data from on-premise
- Oracle to Azure SQL
- Install and configure Azure Services like Virtual Machines,
- AppServices, ADF, Databricks, Data lake etc for various project requirements
- Configuring Azure Policies as per requirements
- Increasing the DTUs and DWUs of Azure SQL DB and DW per the requirement
- Generating various reports for stakeholders by writing SQL queries and eventually automating them as per requirement Managing and monitoring data replication
- Have worked on automating the pipelines based on the requirement, which helped for continuous integration (CI)
Achievements:
• Successfully migrated a legacy on-premises data warehouse to Azure Synapse Analytics resulting in increased performance and scalability.
• Implemented a real-time data integration solution using Azure Event Grid and Azure Logic Apps, reducing data latency from hours to seconds.
• Designed and developed a data pipeline using Azure Databricks, resulting in faster data processing and reduced data processing time by 50%.
Key Responsibilities:
• Designed and developed ETL processes using Azure Data Factory and Azure Databricks to extract data from various data sources and load into Azure SQL Database.
• Created data models and implemented data warehousing solutions using Azure SQL Database and Azure Analysis Services.
• Conducted data migration from on-premises data centers to Azure using Azure Data Factory and Azure Database Migration Service.
• Developed data integration solutions using Azure Logic Apps and Azure Functions.
• Worked with cross-functional teams to identify data requirements and provided data solutions to meet their needs.
• Monitored Azure services to ensure optimum performance.
Achievements:
• Successfully migrated a legacy on-premises database to Azure SQL Database resulting in reduced maintenance costs and increased scalability.
• Designed and implemented a data warehousing solution using Azure SQL Database and Azure Analysis Services, resulting in improved data accessibility and reduced data processing time.
• Developed a real-time data integration solution using Azure Logic Apps and Azure Functions, resulting in improved data accuracy and reduced data processing time by 60%.
- Installing and configuring different Tiers Virtual Machine and Virtual
- Networks for different Project needs
- Migration of Azure VM within different VNet, Resource groups or different regions
- Managing RBAC policies for subscription
- Applied security best practices in AWS including multi factor authentication, access key rotation, role-based permissions, enforced strong password policy, configured security groups and NACLs
- Ensured data recoverability by implementing systems snapshot, AMIs, RDS
- Replicas, and application-level
- Backup to S3
- Network, CPU, Disk, and connectivity monitoring with CloudWatch and setup to trigger alarm and notify system
- Administrators
- Performed root-cause analysis of recurring issues, system backup, and security setup
- Successfully leveraged Auto scaling groups to right-size EC2 pools to match the level of demand and helped to manage costs by eliminating excess capacity to maintain optimal level of resources
- Working with blobs, tables, queues, and file storage services
- Configure the appropriate VMs, storage and network in Azure to support the customer workloads moving to Azure.
University of Buea - Buea, Cameroon,
XXX1-06 DP-203 – Data Engineering on Microsoft Azure
XXX1-01 AZ-900 - Microsoft Azure Fundamentals
XXX1-01 AZ-104 - Microsoft Azure Administrator
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Resume Overview
School Attended
- University of Buea
Job Titles Held:
- Cloud Data Engineer
- Azure Engineer
- System Administrator
Degrees
- Bachelor of Science
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