Donald Peterkin

Senior Data Analyst @Ministry of Education New Zealand

Wellington, NZ
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Mar 2025 — Present

Senior Data Analyst @Ministry of Education New Zealand

Wellington, NZ

Creating magical insights for the special projects team.Wrangling the multitude of data into a usable format, then creating meaningful and reactive dashboard and Tracker to measure all service level KPI’s

EDUCATION

1980 — 1983

Olifantsfontein Technikon

Diploma, National Diploma for Technicians (T3)

1979 — 1979

Natal Technikon

Diploma in Electronic Engineering

2004 — 2008

Victoria University of Wellington

MIM, Masters Degree in Information Management

SKILLS

EtlEnterprise ArchitectureSdlcPentahoSolution ArchitectureDatabasesSystems AnalysisGovernanceSsrsBusiness Process ImprovementSsisProject ManagementBusiness IntelligenceRequirements AnalysisAgile MethodologiesIntegrationInformation ArchitectureIT StrategySsas 2008VbaChange ManagementData ModelingBusiness AnalysisItilVisual StudioSoftware Development Life Cycle (Sdlc)Business ProcessSoftware DevelopmentInformation ManagementSql ServerData AnalysisRequirements GatheringDatabase DesignData WarehousingBusiness RequirementsSqlMicrosoft Sql ServerTfsAnalysis

ABOUT DONALD PETERKIN

Expertise & CompetenciesLeadership Foster a trusted, open environment that empowers teams to learn, develop, and drive innovation. Lead and manage multidisciplinary teams, ensuring rapid delivery of high-quality outcomes. Build self-motivated, adaptive agile teams that enhance productivity and growth. Cultivate strong internal and external relationships to drive collaboration and success. Operate effectively beyond my comfort zone, embracing new challenges. Manage and maintain budgets, ensuring cost-effective solutions. Establish cross-functional squads to deliver comprehensive solutions. Proactively identify and remove roadblocks, facilitating seamless project execution.Data Strong expertise in metadata management, ensuring data consistency and quality. Maintain rigorous data privacy and security standards. Improve enterprise data relevancy, completeness, and governance. Deep understanding of data modeling methodologies, including Data Vault. Implement best practices for data collection, storage, and delivery. Extensive knowledge of database management and architecture.Technologies Strong understanding of Azure, AWS, and GCP cloud technologies and architectures. Extensive experience in database operations and management. Solid grasp of testing techniques and best practices for data solutions. Ability to quickly learn and adapt to new technologies. Familiarity with multiple ETL and data pipeline tools. Proficient in Databricks, Microsoft Fabric, and the Lakehouse architecture concept.

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Donald Peterkin — Senior Data Analyst at Ministry of Education New Zealand in Wellington, NZ | Unifers