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Work Background
Data Engineer II
Civitas LearningData Engineer II
Apr. 2024Austin, Texas, United States
Data Engineer
EdgeNet Consulting LimitedData Engineer
Aug. 2023Lagos State, Nigeria* Developing, Building and Maintaining scalable end to end data pipelines for Loan application in various subsidiaries in Africa. * Deployment of various Python Jobs and configuration of Spark servers. * Delivery of Digital Loan products for various subsidiaries in Africa. * Implementation of Risk Assessment Criteria for Cash Flow in all subsidiaries. * Orchestrating the use of Stored Procedures to create retention policies for all of the subsidiaries.
Data Engineering Trainer
Data2BotsData Engineering Trainer
Jul. 2023 - Jun. 2024Amsterdam, North Holland, Netherlands• Leveraged Subject matter expertise during synchronous delivery of online sessions. • Guided and Oversaw students through asynchronous (Independent) learning modules and help solidify understanding of fundamental concepts. • Prepared and personalized sessions by reviewing curriculum materials and integrating stories and examples to increase participants learning, • Engaged participants in active thinking and participatory learning using effective communication and facilitation techniques. • Followed the Overarching structure and flow of the curriculum, including behavioral skills, mindsets, technical and employment essentials session. • Initiated in-the-moment feedback to participants to clarify misunderstandings and/or encourage critical thinking. • Optimized and Systematize The provision of relevant and timely feedback to students on formative and summative assessments including student projects. • Built Relationships with students to develop an understanding of their personal strengths and challenges and foster a supportive classroom environment.
Data Engineer
MyDataCompassData Engineer
Jan. 2022 - Jul. 2023London, England, United Kingdom• Automating the use of Azure Data Factory to extract daily, weekly, and monthly data from transactional database and inserting into the Datawarehouse for consumption by the analytics team. • Development and monitoring of ETL pipelines for analytical purposes using ADF, Azure Databricks, HDInsight, Azure Log Analytics Etc. • Spearheading the building and maintenance of client’s data warehouses and data lakes on Azure SQL databases and Azure Synapse Analytics workspace (for data quality checks, data modeling and data standardization). • Monitoring the overall performance and stability of data pipelines. • Pioneered the use of SQL scripts which includes stored procedures, views, functions and CTEs to build business intelligence solutions. • Configuration of Azure Key Vaults for credentials life cycle management and security. • Migration of data pipelines from dev environment to test and production using Azure devOps while following best software engineering standard practices. • Implementation of the use of Azure blob storage (data lake) for staging and archiving data. • Collaborating with the Analytics team and other Engineers to understand client environments, organizational reporting requirements and proposing the configurations that meets these requirements. • Documentation and Implementation of deployment instructions in line with operating procedures.
Data Engineer
Baxi by OnafriqData Engineer
Jan. 2021 - Dec. 2021Lagos State, Nigeria• Built large scale and optimized ETL Pipelines with various python packages and spark from OLTP to OLAP databases for use by the analytics team to enhance the extraction of useful and actionable insights from data. • Orchestrated the use of stored procedures for data cleaning and transformation into dimensional models and archiving data into the data lake storage. • Contributed as a database admin by setting firewall rules and also grant and revoke various level of access to users. • Executed database modeling and designs coupled with its development, testing and implementation with RDBMS. • Data modeling (Physical, Logical, Conceptual) and design of schemas (star, snowflake) to represent and support business processes. • Spearheaded Comparative Analysis of Various Payment Processors daily to be able to determine and optimize payment options. • Systematized Performing Trend analysis of Payment Transactions for Decision making. • Collaborated hand in hand with multiple departments to synergize data in a multidisciplinary field. • Implemented Cleaning, Transforming and Updating datasets from different data sources while publishing them into SharePoint and Access using Data Connectors. • Developed and implemented Databases, Data Collection Systems, Analytics, and other strategies that will optimize statistical efficiency and quality. • Interpreted Large datasets and analyzing results using statistical techniques to provide reports. • Identified and Interpreting trends and patterns in complex datasets to make useful recommendations to senior management. • Spearheaded Ad-Hoc Analysis and Forecasting as needed across a diverse set of teams. • Pioneered the Creation of Insightful and automated dashboards to track key business metrics.
Senior Data Analyst
Connected Analytics (ThankUCash)Senior Data Analyst
Sep. 2020 - Jan. 2021Lagos, Nigeria• Spearheaded the Analysis and development of Reports across multiple Sales Transaction Projects for various clients which in turn helped them generate almost over 50% increase in Profit. • Initiated various marketing analysis projects to analyze the effect of various campaigns on Impressions, clicks, Conversions to know which campaign to focus on more and which ones to drop. • Collaborated with Database Admins and Data Engineers to develop Data Collection systems using Microsoft Power Apps and Automating them to Excel, Access and SharePoint using Microsoft Data Connectors. • Implemented Development and Maintenance of Databases in both Microsoft Access and MS SQL Server. • Pioneered implementation of Databases, Data Collection Systems, Analytics, and other strategies that will optimize statistical efficiency and quality. • Facilitated the Interpretation of Large datasets and analyzing results using statistical techniques to provide reports. • Identifying and Interpreting trends and patterns in complex datasets to make useful recommendations to senior management. • Communicated Daily with the Engineering team, Product Managers and Vendors on ETAs. • Boosted Ad-Hoc Analysis and Forecasting as needed across a diverse set of teams. • Invented Insightful and automated dashboards to track key business metrics.
Data Scientist/Machine Learning
Pine AnalyticalData Scientist/Machine Learning
Jul. 2020 - Sep. 2020New York, United States• Successfully Executed predictive analysis tools such as various Machine Learning Algorithms to analyze, predict and proffer solutions to various business problems. • Applied tools to accurately quantify and qualify various datasets including structured and unstructured datasets. • Implemented custom data models and algorithms for applications on datasets. • Executed predictive modelling on datasets to drive business needs. • Spearheaded and coordinated with various functional teams to implement models and monitor outcomes. • Initiated Developed Tableau visualizations and dashboards from extracted reports using Tableau Desktop. • Wrote python codes to perform statistical analysis and visualization of data.
Data Analyst
COGNITY ADVISORYData Analyst
Jan. 2017 - Dec. 2019Lagos, Nigeria• Designed and Created charts in Jupyter Notebook to perform preliminary analysis and visualize data using Matplotlib. • Implemented BI reports in pivot charts, graph, and other visualization format to analyze oil production and consumption trends. • Developed and Designed reports in Excel and Access from datasets as per business needs. • Optimized SQL queries to create link from Excel to SQL server. • Designed and Developed Tableau visualizations and dashboards from extracted reports using Tableau Desktop. • Spearheaded the Designed of Interactive dashboards using pivot charts to monitor research progress for different research groups. • Executed python codes to perform statistical analysis and visualization of data. • Implemented VBA codes for automated transferring of data between spreadsheets and workbooks. • Helped synergize data in a multidisciplinary team.
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