HENRY AKWERIGBE
Sr. Python Engineer
https://www.linkedin.com/in/henry-akwerigbe-9b-/
https://www.github.com/henadek
mailto-
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);
- 5 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 Docker/Kubernetes (K8s);
- Hands-on scripting experience with Python; Microsoft Power BI, Tableau, Sisense,
CI/CD pipelines, Data Validation, Data QA, SQL, ETL Pipelines, and Automated web
scraping.
- Upper-intermediate English
TECHNICAL STACK
Main Technical Skills
Python (8+ yr.), Data Analysis (6 yr.), Google Cloud
Platform (GCP) (5 yr.), AWS (5 yr.), RestAPI, Data
Warehouse, ORM, SQL/NOSQL
Programming Languages
Python (8+ yr.), JavaScript (6 yr.)
Python Frameworks and
Libraries
Flask, FastAPI, Pandas, ScikitLearn, Python Pickle,
Django Channels, PySpark, Asyncio,
Multithreading/Multiprocessing
Data Technologies/Analysis/
Visualization
Data Analysis (6 yr.), Data Testing (6 yr.), ETL, Apache
Spark, Data Scraping, Data Modelling, Data Mining,
Apache Airflow, Apache Kafka, Tableau (5 yr.),
Microsoft Power BI (5 yr.)
Databases & Management
Systems, ORM
SQL, ETL, Apache Spark, MySQL, PostgreSQL,
Microsoft SQL Server, SQLAlchemy, Pydantic, AWS
ElasticSearch, Aurora, Databricks, DynamoDB,
RDBMS
AI & Machine Learning
Machine Learning (SpaCy, ScikitLearn, DeepFace,
KNN, SVM, Linear regression, G boost, Dlib), Large
Language Models (LLM), LangChain, HuggingFace
Cloud Platforms, Services &
Computing
Amazon Web Services (AWS) (5 yr.), Google Cloud
Platform (GCP) (5 yr.), Heroku
Amazon Web Services
AWS S3, AWS SQS, AWS Lambda, AWS Bedrock,
AWS Cloudwatch, AWS FarGate
QA & Test Automation
Selenium, Cucumber, Unit Testing, Pytest, Load Test,
Locust, Postman
Version Control
Git
Operating Systems
Linux, MacOS, Windows
SDK, API, and Integrations
RESTful API, OpenAI, OAUTH, SSO, RBAC
Deployment, CI/CD, DevOps,
Administration
GitHub Actions, CI/CD pipelines, DevOps practices,
Docker
Other Technical Skills
Data Engineering (6 yr.), Team Collaboration (8 yr.), Big
Data, Streamlit, Robotic Process Automation, Cronjob,
Data pipelines / ETL, Parallelization, datasets, Machine
learning, Test Automation, RPA, Sisense
WORK EXPERIENCE
Senior Backend Engineer (Python)
Company: Zarttech
Industry: IT Services (Digital Marketing)
December 2023 - Current
Overview: AI-driven digital marketing that assists companies with creating high
customer engagement by providing marketers with the ability to offer real-time,
targeted, personalized customer experience in the context of the moment.
Responsibilities
● Design and develop the backend infrastructure for digital marketing;
● Optimize backend application performance for speed, and robust scaling;
● Implement security features using, JWT, OAuth2 Authentication, Roles, and
Permissions (RBAC).
● Implement AI image and text generation features;
● Own and manage data generated and consumed on the front end with Database
management best practices in Postgres and Databricks.
● 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.
Technologies: Python, FastAPI, Asyncio, PostgreSQL, Databricks, AI, LangChain,
LLM, ChatGPT, Dall-E 3, HuggingFace, Stable Diffusion, AWS, Lamda, GCP, Pandas,
PySpark, Postman, Docker, Git, Load Test, Locust
Python Engineer, Profile Import & Data Scraping
Company: Smart Fusion Solutions
Industry: HRTech
May 2023 - June 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:
● Built a Web Scraper with requests and selenium
● Built a Data Parser for PDF, Word, and Google Docs
● Implemented Machine Learning and text/content recognition for accurate data
parsing
● Developed and exposed a RestAPI for accessing web scraping and data parsing
features on the backend
● Implemented CI/CD Automation testing for workflow and load testing.
Technologies: AWS, Restful API, FastAPI, Asyncio, SQL, Python, Pytest,
Pandas, Allure, JavaScript, Docker, Postgres, CSV, JSON, Parquet
Power BI Engineer
Company: Smart Fusion Solutions
Industry: Real Estate
January 2023 - May 2023
Overview: Startup that revolutionizes the home equity market in the US. Our
team is working on providing outstanding BI services with accessible data to
decision-makers and streamlining the current services and their effectiveness.
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.
Technologies: Tableau, SQL, Snowflake
Data Engineer - Data management platform / Amazon
E-Commerce Aggregator
Company: Proxet
Industry: E-Commerce
Jan 2020 – August 2022
Overview: A next-generation consumer goods company reimagining how the
world’s most-loved products become accessible to everyone. We use a deep
understanding of rankings, ratings, and reviews to identify and acquire quality
brands and use world-class expertise and data science to make their products
better or create new ones to meet changing customer demand.
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
●
Design and develop data pipelines (DAGs). Automation tests.
Technologies: Sisense BI, AirFlow, ETL, Snowflake, Python, SQL, DBT,
Pandas, AWS S3, Medallion Architecture, Hadoop, Spark, GitLab CI/CD,
Kubernetes, LDAP, Automation Test, Pytest, Snowflake Schema, Dimensional
Modeling, ER Diagrams
Python Cloud Engineer
Company: FieldworkAfrica
Industry: Market Research
July 2016 – Dec 2019
Responsibilities:
● Developed data visualizations on PowerBI and Tableau to track areas of high
and low drink consumption to establish which areas are potentially viable to
push a new drink to.
● Provided daily and historical data reports and visualizations to the technical
director. Daily and historical reports included tracking the coverage of data
collection in geographical areas, and providing updates on data quality checks
and target data samples.
● Developed and maintained cloud services on the Google cloud platform.
● Developed questionnaire scripts on ODK for market research.
● Led a data collection team of 10 people.
● Performed data analysis using data tools, visualizations, and dashboards.
● Used PowerBI and Tableau to provide daily and historical data reports and
visualizations to the technical director. Daily and historical reports included
tracking the coverage of data collection in geographical areas, and providing
updates on data quality checks and target data samples.
Technologies: ODK, GCP, Google App Engine, PowerBI, Python, RBAC,
Tableau, MS Excel, BigQuery, XML
BI Experience Highlights:
1. Real Estate Project:
● Developed and maintained predictive algorithms for US house prices using
machine learning techniques such as regression and classification
● Created interactive data visualizations for real estate agents and investors
using Tableau
● Analyzed a variety of data points on comparables for single-family homes and
condos, including location, property age, and amenities
● Assessed factors like ARV (After Repair Value), square footage, year built,
number of beds and baths, garages, and local market conditions
● Developed user-friendly dashboards to display real-time market trends and
property values, enabling investors to make informed decisions quickly
● Collaborated with a team of data scientists and engineers to continuously
improve algorithms and visualizations
2. Market Research Project:
● Utilized Tableau for comprehensive daily and historical data reporting and
visualization to support decision-making processes.
● Provided data insights and visualizations to the technical director, enabling a better
understanding of market dynamics and trends.
● Created a range of custom dashboards for daily and historical reports that covered
various aspects such as sales, customer demographics, and product performance.
● Monitored and analyzed data collection coverage in target geographical areas to
ensure accurate representation of the market.
● Conducted regular data quality checks, including data validation and cleaning,
to maintain high data accuracy and reliability.
● Collaborated with data engineers and analysts to optimize data collection
methods and improve overall data quality
EDUCATION
CERTIFICATION
● Yaba College of Technology
2018 - 2019
Higher National Diploma (HND),
Mechanical Engineering
● Google Scholarship Android Basics 2018
● Certificate of Completion (DSN 2nd
Data Science Boot Camp) 2017
● Certificate of Participation ACM
(Association for Computing Machinery)
2017
● Big Data Foundations (Level 1) 2017
● Data Science Foundations (Level 1)
2016
● Python Developer Certificate
(University of Michigan) 2014
● Yaba College of Technology
2013 - 2016
National Diploma (ND), Mechanical
Engineering
