Mureese Hodge
Verified Expert in Engineering
Data Engineer and Developer
Atlanta, GA, United States
Toptal member since November 6, 2023
Mureese is a highly skilled data engineer with a strong focus on cloud technologies, particularly AWS and Azure. With 7+ years of experience in data science and data engineering, Mureese has successfully worked across diverse industries, including finance, insurance, and oil and gas. Mureese's expertise is further validated by multiple certifications in both AWS and Azure, demonstrating a comprehensive understanding of these platforms.
Portfolio
Experience
- SQL - 6 years
- Python 3 - 6 years
- PySpark - 6 years
- Amazon Web Services (AWS) - 4 years
- AWS Lambda - 4 years
- Azure - 3 years
- Databricks - 3 years
- Terraform - 2 years
Availability
Preferred Environment
Amazon Web Services (AWS), Azure, SQL, Python 3, PySpark, Terraform
The most amazing...
...projects I've worked on involved migrating data sources from on-premises to the cloud and building data pipelines with AWS Glue and Databricks using PySpark.
Work Experience
Senior Data Engineer
Humana
- Created pipelines from Oracle's on-premises data warehouse to Azure, establishing an enterprise data platform.
- Wrote Databricks scripts to validate migrated data in the cloud.
- Built the back-end infrastructure in the Google Cloud Platform (GCP) using Azure DevOps and Terraform.
- Altered Azure Data Factory pipelines for enhanced pipeline runs.
Senior Data Engineer
Deloitte
- Wrote Databricks scripts to clean and push data from bronze to gold states for analytic consumption and long-term storage in a storage account using Delta tables.
- Created a custom Lambda connector to load data from a custom API to Snowflake, implemented a custom process to load data from the SFTP server to Snowflake, and wrote a Python script to orchestrate stored procedures to complete the client process.
- Designed a pipeline to ingest data into OpenSearch, wrote code to store the data in Amazon S3 for long-term storage and in the OpenSearch cluster for search purposes, and created a cluster and implemented index lifecycle management for the cluster.
- Developed a Lambda pipeline to store data in Amazon S3 and additional Lambdas to transform the data as required.
- Built a Redshift external table from an AWS Glue Data Catalog table, set up a Glue crawler to refresh the data on a scheduled basis, and wrote a Glue transformation script to backfill the data.
Data Engineer
State Farm
- Developed a DynamoDB NoSQL data model for an internal application.
- Built Redshift clusters and DynamoDB tables using Terraform best practices.
- Created Amazon Relational Database Service (RDS) databases using Terraform best practices.
Cloud Data Engineer
Cloudreach
- Created AWS Glue Spark jobs to pull data from SQL Server and MySQL. Wrote step functions and Lambdas to orchestrate AWS Glue jobs.
- Migrated 10TB using AWS Snowball and a data migration tool for CDC. Rewrote 1,200 views and 1,082 stored procedures for Redshift compatibility.
- Ingested hot data into Redshift, stored cold data in Amazon S3, used Spark and AWS Glue ETL jobs to process incoming files from Amazon S3, and connected PowerBI to Redshift.
Experience
Machine Learning Model with API
Education
Master's Degree in Applied Statistics
Kennesaw State University - Kennesaw, GA, USA
Master’s Degree in Business Administration (MBA)
Georgia Southern University - Statesboro, GA, USA
Bachelor's Degree in Finance
Georgia Southern University - Statesboro, GA, USA
Certifications
Microsoft Certified: Azure Data Engineer Associate
Microsoft
AWS Certified Machine Learning - Specialty
Amazon Web Services
AWS Certified Developer - Associate
Amazon Web Services
AWS Certified Big Data – Specialty
Amazon Web Services
AWS Certified Solutions Architect - Associate
Amazon Web Services
Skills
Libraries/APIs
PySpark
Tools
Terraform, AWS Glue, Amazon Athena, Apache Airflow, Amazon SageMaker
Platforms
Amazon Web Services (AWS), Azure, Databricks, AWS Lambda, Google Cloud Platform (GCP)
Languages
SQL, Python 3, Snowflake
Storage
Redshift, Amazon DynamoDB, Elasticsearch, Netezza
Paradigms
Management
Other
Data Science, Finance, Azure Data Factory (ADF), Amazon RDS, Data Build Tool (dbt), Amazon API Gateway
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