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Victor Ogburie

@victorogburie

Senior Data Engineer at Deloitte building governed data pipelines and enterprise analytics models.

At Deloitte, I led enterprise data integration modernization and designed production ETL pipelines connecting operational databases, APIs, and enterprise applications to a governed data warehouse. I also optimized ingestion workflows and developed dimensional models for financial reporting, benchmarking, and regulatory analytics.

Previously, I built data integration and reporting solutions at Crown Castle and Accenture, including telecommunications data workflows and enterprise reporting structures. At Udacity, I prepared learner activity data for engagement analytics using Python, SQL, and PySpark.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

Deloitte

May 2024 - Present (2 years 6 months)

Led enterprise data integration modernization, improving reporting delivery efficiency by 12% through stakeholder requirements analysis and standardized data pipelines. Designed 25 production ETL pipelines using Python, SQL, and Apache Airflow, and implemented governance controls for 6 business units.

Python SQL Airflow ETL Data Warehouse Dimensional Modeling Data Governance CI CD Git Snowflake Azure Data Factory AWS Role Based Access Control Data Masking Audit Logging Incident Management SLA Monitoring

Data Engineer

Crown Castle

Jul 2022 - Apr 2024 (1 year 9 months)

Partnered with telecommunications operations analysts to define 15 network performance KPIs and designed a centralized data warehouse integrating 8 network inventory systems. Optimized ingestion pipelines, reducing transformation latency by 17% and implemented 15-minute data refresh intervals.

Python SQL ETL Data Warehouse Dimensional Modeling API Extraction Schema Validation Data Quality SLA Monitoring Incident Management Telecommunications

Data Engineer | Technologist | ETL developer

Accenture

Aug 2014 - Jun 2022 (7 years 10 months)

Gathered reporting requirements from 6 client business units and developed 25 ETL pipelines using SQL, Python, and relational staging tables. Reduced recurring extraction processing time by 15% and improved reconciliation accuracy by 17% through automated validation.

SQL Python ETL Data Warehouse Dimensional Modeling Data Governance Git Regression Testing Root Cause Analysis Change Management Incident Management

Data Engineer

Udacity

Nov 2020 - Jun 2021 (7 months)

Designed 12 ingestion workflows using Python, SQL, and scheduled batch processing to integrate learner activity and course enrollment data. Optimized PySpark transformations on Amazon EMR, reducing processing latency by 19% while preparing over 10 million daily activity records.

Python SQL PySpark Amazon EMR Data Warehouse Dimensional Modeling Batch Processing Data Validation