Henry Akwerigbe
Big Data Engineer
Sheridan, WY, USA
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FollowingPython Engineer with Data Analytical Skills SUMMARY - 8+ years experience working with Python; - 5 years of experience as a BI and 4 years of experience with Tableau; - 8 years of experience with various data sets (ETL, Data Engineer, Data Quality Engineer); - 3 years of experience with Amazon Web Services (AWS), Google Cloud Platform (GCP); - Data Analytics/Engineering with Cloud Service Providers (AWS, GCP) - Experience working with MySQL, SQL, and PostgreSQL; - Deep abilities working with Kubernetes (K8s); - Hands-on scripting experience with Python; Microsoft Power BI, Tableau, Sisense, CI/CD principles, Data Validation, Data QA, SQL, Pipelines, ETL, and Automated web scraping.
Careers
Python Engineer
NDA (IT Consulting Industry)
Full time contract04/2023 - 05/2023
- Overview: Microservice for job resumes (profile) and Job description parser and
- scraper functionality that includes integration with LinkedIn, a popular
- workable, glassdoor-like platform, Google Docs, PDF & Word parsers.
- Responsibilities:
- Web Scraper
- Data Parser for PDF, Word, Google Docs
- Machine Learning and text/content recognition
- API
- Automation testing for importing, high-load
Tableau Data Engineer
NDA (Real Estate Industry)
Full time contract12/2022 - 04/2023
- Responsibilities
- Design and develop Tableau dashboards;
- Produce well-designed, efficient code by using the best software
- development practices;
- Perform code reviews for compliance with the best engineering practices,
- coding standards, and quality criteria set for the projects;
- Provide suggestions to improve the architecture, and coding practices,
- build/verification toolset, and solve customer problems.
Data Engineer
NDA (Amazon E-Commerce Aggregator)
Full time contract12/2019 - 07/2022
- Responsibilities:
- Use Sisense to build dashboards for tracking updates to selected amazon
- store brands for determined time periods. I used the interactive SQL
- palette for querying the tables to filter the needed information (columns) to
- be displayed in the dashboard. This dashboard provides the data
- engineering manager with the necessary information to make decisions on
- store brands.
- Create and support ELT data pipelines built on Snowflake and DBT while
- ensuring high-quality data
- Develop and deploy data warehousing models, and support existing
- processes/ETLs (extract/transform/load), and functions (in Python/SQL/
- DBT) in a cloud data warehouse environment using Snowflake, AWS services
- SQL statements and developing in Python
Education
Yaba College of Technology
Mechanical Engineering
12/2012 - 05/2016Associate DegreeClass of 2016
Collections
Assessment badge
Completed assessment
09/15/2023
Skills
Pythonautomated testingAnalyze dataAWSGoogle CloudGithubRESTful APISQL Server, cloud computing design
ExperienceSenior-level5-8 years
Hourly rate$45/hr
Open to
remote
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