Technical Support Engineering - Data Governance

DALBRETT NDZISHANGONG

TECHNICAL SUPPORT ENGINEER – DATA GOVERNANCE

Dallas, TX 75126 +1-469-***-**** ********************@*****.*** Professional Summary

Technical support professional with a robust background in troubleshooting, network configuration, and customer service. Known for strong analytical skills and effective communication in high-pressure environments. Consistently collaborates with teams to solve complex issues and adapts to dynamic technical requirements. Skilled in system diagnostics, software installation, and providing clear, actionable solutions. Passionate about customer-centric support, problem resolution, and optimizing IT infrastructure. Proven ability to collaborate with cross-functional teams and ensure high availability and system performance in hybrid cloud environments.

Technical Skills

Domain Skills & Technologies

Cloud Services Azure VMs, Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Functions, Azure Synapse, Logic Apps, App Services, Azure Key Vaults, Managed Identities.

Virtualization VMware vCenter, vSAN, vSphere, NSX-T, Virtual Machine Management Networking On-Premises & Cloud Networking, Firewall Configuration, TCP/IP, DNS, DHCP, Load Balancing

Operating Systems Windows Server (Active Directory, GPO), Linux (Ubuntu, CentOS) Administration

Storage

Management

SAN/NAS Storage, Storage Virtualization, Backup & Disaster Recovery Solutions

Incident Response Break-fix support, performance tuning, debugging, log analysis Project

Management Tools

JIRA, ServiceNow, Confluence

Build Tools Jenkins

Communication

Skills

Verbal, Written, Zoom, Teams

Critical Thinking Strong analytical and problem-solving skills, technical documentation, stakeholder communication

Work History

Technical Support Engineer – Data Governance 08/2024 to Current Microsoft- Contract – Dallas, TX

• Provide technical support for Microsoft Azure infrastructure, including VMs, Storage, and Networking.

• Resolve complex technical issues by collaborating across teams—including support engineering, product development, services, and account management—resulting in faster resolution times and improved customer satisfaction.

• Enhance product functionality by providing actionable feedback to senior engineers and product teams based on real-world customer experiences, leading to measurable product improvements and feature enhancements.

• Accelerate bug resolution by partnering with engineering teams to investigate and prioritize product issues, effectively communicating business impact and driving timely fixes that reduce recurring problems.

• Optimize case resolution workflows by analyzing customer feedback and refining processes, leading to a more seamless support experience and quicker turnaround times.

• Strengthening team knowledge and response times by actively participating in case triage meetings, sharing insights, and identifying training needs that contribute to overall team effectiveness

• Diagnostics, troubleshooting, and resolve hardware, software, networking, and cloud-based issues.

• Deliver Tier 2 & Tier 3 support for Azure, VMware, storage, and networking solutions.

• Conduct incident management, root cause analysis, reducing system downtime by 30%.

• Develop and maintain knowledge base articles, SOPs, and troubleshooting guides.

• Implement disaster recovery (DRBC) strategies, optimizing backup and failover solutions. Data Engineer 04/2022 to 05/2024

Metro Social Media – Atlanta, GA

• Configured and deployed an Azure Databricks cluster for data processing tasks.

• Implemented streaming data ingestion using Apache Spark Structured Streaming.

• Applied data transformations and aggregations in real-time using Python and Spark APIs.

• Outcome: Successfully processed and analyzed streaming data streams, gaining practical experience with real-time analytics and Azure Databricks.

• Designed and implemented an end-to-end data pipeline using Microsoft Azure services.

• Developed a data warehouse solution using Azure Synapse Analytics.

• Implemented ETL processes using Azure Synapse Pipelines to load data into SQL Data Warehouse.

• Developed a real-time data processing solution using Azure Databricks and Apache Spark.

• Analyze and resolve data quality issues by identifying inconsistencies, implementing validation processes, and enhancing data integrity.

• Stay up to date with industry trends and emerging technologies to continuously improve data engineering practices and drive innovation

Aviation Mechanic 01/2021 to 01/2022

U.S Navy – Lemoore, CA

• Utilized advanced diagnostic tools and equipment for accurate assessments of aircraft systems, expediting repair times and reducing potential errors.

• Streamlined repair processes by implementing a preventative maintenance program that resulted in fewer unscheduled repairs.

• Conducted diagnostics, troubleshooting, and repair on aviation systems.

• Analyzed system performance and data reports, ensuring accurate root cause analysis. Education/Certifications

Bachelor of Science: Computer Sciences

University of Buea - Buea University

AZ-900 - Microsoft Azure Fundamentals Certified

Microsoft Azure - Microsoft

Oracle SQL Server Certified

SQL - Oracle

Some College (No Degree): Data Engineering

Microsoft - Microsoft

VCP Data Center Virtualization (In Progress)

Microsoft

VCP Network Virtualization (In Progress)

VCP Network Virtualization

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