My professional background and experience has centered around leading code implementations within project executions, interfacing with clients in order to understand their needs and requirements, as well as advancing data pipeline architectures, which are crucial for migrating data workloads to, as well as building AI applications within the Google Cloud Platform. My contributions (from design to delivery) have enabled efficient and scalable data solutions, reducing infrastructure costs significantly. Within this dynamic environment, my proficiency in Data Engineering, AI, as well as knowledge of Machine learning Operations has been pivotal to successfully transitioning complex analytics workloads to cloud-based platforms.
Badal.io by TELUS Business
April 2023 - Present
• Badal.io (Acquired by TELUS Business Solutions Inc) • Led hands-on project execution and code implementation within team, supporting Lead Data Engineers and Architects with crafting and building out Data Pipeline designs. • Continuous integration and deployment of analytics workloads using dbt on Google Cloud BigQuery, orchestrated by Cloud Composer, and deployed using Cloud Build triggers. • Migrated Data Lake and Data Warehouse Analytics workloads to Google Cloud Dataproc from on legacy on prem hadoop clusters. • Prototyped, built and deployed PoC RAG Applications using Google Gemini models and Vertex AI with langchain on Google Cloud Platform, to earn the Google Cloud L400 AI Engineer skill badge • Building an end-to-end Machine Learning workflow prototype in Databricks Workspace/ Catalog hosted on Google Cloud, from ingestion and ETL through Experiment tracking and model deployment and service.
Lighthouse Labs Data bootcamp
July 2021 - June 2024
• Provided subject matter expertise consulting for learning content at Lighthouse Labs Data Bootcamp and corporate training courses in Data Science, Analytics and Generative AI. • Conducted one-on-one code reviews, assisted with curriculum development, and evaluated projects for students. • Guided Data Science Interns to gain real-world experience and skills for their future careers.
Badal.io by TELUS Business
August 2022 - March 2023
• Contributed to data engineering consulting project implementations for a leading Canadian Enterprise GCP Consulting company, specializing in data product deliverables and migration programs. • Onboarded as a key team member for Bank of Nova Scotia's Enterprise Data Lake Migration project, utilizing dbt-BigQuery and Terraform for infrastructure management. • Designed and operationalized data processing systems on Google Cloud Platform, ensuring high-quality machine learning model solutions.
Totogi LLC
March 2022 - August 2022
• Led technical delivery for Totogi-AWS Pilot Project, deploying 4G/5G VoLTE Network Environment using Magma Core Architecture on AWS. • Developed data pipelines with Devflows, Glue Catalog Databases, DynamoDB and Amazon Athena for processing Telco Subscriber data. • Built a Charging Configurator Engine web app with Flask and AWS services for Plan and Account Creation.
Totogi LLC
January 2022 - February 2022
• Scoping, discovery and development of a Machine Learning model PoC for Churn prediction from subscriber data in the telecom industry. • Redefined subscriber engagement for Telco carriers migrating to the public cloud, focusing on Data Science and Engineering. • Implemented platform configuration using Flask backend and AWS Glue and Athena for Online Charging System (OCS) and Support systems (OSS & BSS)
Revisionz Inc
August 2021 - December 2021
• Contributed to the implementation of Content Organization & Text Extraction Software at Suncor Energy's ADLP using YOLO Object Detection and OCR with Microsoft Azure. • Trained image data with YOLO image recognition, evaluated models, and collaborated on projects using Azure DevOps and Atlassian Trello. • Achieved over 50% cost reduction for clients through AI/ML solutions at ReVisionz Inc.
Cybera
July 2021 - August 2021
• Led final sprint of Agile Data Science Project, leveraging Github capabilities for project development and code contribution. • Presented the team's project deliverables to the Stakeholders at Cybera and Hockey Actionable Insights. • Collaborated closely with teammates, Cybera Representative, and Hockey AI Domain Experts to deliver on project requirements. • Developed POC model for Recommender System using Gradient Boosting, Random Forests, and Logistic Regression. • Assisted junior hockey student-athletes in making data-driven career decisions.
Riipen
March 2021 - July 2021
• Developed data pipelines for web scraping on Google Cloud Dataflow with Apache Beam Python SDK. • Conducted data analysis and machine learning for HR attrition using Tensorflow and Keras. • Contributed to API productization for an immersive analytics visualization system. • Led database design and development for an auto electric parts inventory.
Southern Alberta Institute of Technology, July 2015
Petroleum Engineering
University of Benin, Benin City, Nigeria, December 2004
Industrial Chemistry
This project contains an ETL (Extract, Transform, Load) pipeline implemented using Apache Airflow. The pipeline collects, processes, and stores data from various sources, including stock market data and book data from the
View Project2/1/2025 -2/22/2025
Analytics Engineering with dbt on Bigquery. This project implements the use of Analytics Engineering Best practices to build a dimensional data model, using dbt (data build tool) and BigQuery.
View Project6/1/2023 -7/5/2023
Data Streaming workflow that sends JSON data via an API, processed downstream with Apache Kafka and Apache Spark structured streaming, and then persisted in a MongoDB instance.
View Project3/1/2023 -4/20/2023
Building Generative AI Applications with Vertex AI in Google Cloud Platform
View Project11/28/2024 -12/18/2024
Verified Data Engineer
3-5 years of experience
Preferred commitment: Full Time
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