Michael Balogun
Summary
Proficient Data Engineer, adept at crafting, implementing, and refining data solutions within the Microsoft Azure and AWS ecosystem. Bringing 6 years of dedicated experience, I possess a robust foundation in data engineering principles, cloud technologies, and the implementation of optimal data management strategies. My expertise lies in designing and executing scalable solutions that leverage the full potential of Azure, ensuring seamless data processing and management.
Overview
6
6
years of professional experience
1
1
Certification
Work History
Data Engineer
JP Morgan Chase
Wilmington, DE
01.2021 - Current
- Extract Transform and Load data from Sources Systems to Azure Data Storage services using a combination of Azure Data Factory, T-SQL, and Spark SQL
- Analyze, design, and build Modern data solutions using Azure PaaS service to support visualization of data
- Data Ingestion to one or more Azure Services – (Azure Data Lake, Azure Storage, Azure SQL, Azure DW)
- Created Pipelines in ADF using Linked Services/Datasets/Pipeline/ to Extract, Transform, and load data from different sources like Azure SQL, Blob storage, Azure SQL Data warehouse, write-back tool, and backward
- Developed Spark applications for data extraction, transformation, and aggregation from multiple file formats with data Bricks
- Successfully implemented robust CI/CD pipelines using tools like Jenkins and Azure DevOps, enabling seamless automation of build, test, and deployment processes, resulting in accelerated software delivery, increased team efficiency, and improved overall quality
- Performed cloud database security check during the migration of oracle DB from On-prem to AWS RDS
Junior Software Engineer
JP Morgan Chase
Wilmington, DE
08.2019 - 01.2021
- Requirement gathering from respective business stakeholders (business owners/project managers), analyzing requirements and gap analysis
- Designed and implemented a distributed data processing system using Hadoop and spark
- Perform unit testing
- Performing production support related activities and solution delivery methodology
- Developed Control-M jobs and Autosys for scheduling our data flows tasks
- Developed Spark notebooks using Spark for data extraction, transformation, and aggregations.
Data Analyst Intern
Precision Health Care Inc
Washington, DC
04.2018 - 01.2019
- Use data visualization tools to communicate complex findings to stakeholders, including medical professionals and administrators
- Collect and clean data from various sources, including electronic medical records (EMRs), claims data, and clinical trial data
- Analyze patient satisfaction data to identify areas for improvement in patient experience and make recommendations for enhancing patient satisfaction
- Use data mining techniques to identify correlations and causal relationships in patient data
- Collaborate with medical professionals to define and validate research questions, and to interpret the results of data analyses
- Develop and maintain data management systems to ensure the accuracy and completeness of patient data.
Education
BSc., Computer Science -
Morgan State University
05-2019
Skills
- Azure (ADF, Blob/ADLS, Databricks, SQL Azure, Key Vault, Logic Apps, Azure Functions, Synapse)
- AWS (Lambda, S3, Event Bridge)
- PySpark, Spark, Scala, Kafka, Python
- Data Warehousing, ETL/ELTs
- Confluence, JIRA, Azure DevOps CICD, Hadoop, Hive, Control M, Scala, Autosys, SQL Developer, Toad, Power BI, Tableau, ServiceNow, Databricks
- Data Migration
- Data Warehousing
- Relational Databases
- Data Analysis
- SQL and Databases
- Big Data Technologies
Certification
- DP-203 Azure Data Engineer Associate
- AWS Cloud Practitioner
Languages
English
Timeline
Data Engineer
JP Morgan Chase
01.2021 - Current
Junior Software Engineer
JP Morgan Chase
08.2019 - 01.2021
Data Analyst Intern
Precision Health Care Inc
04.2018 - 01.2019
BSc., Computer Science -
Morgan State University