07/12/2024 updated
100 % available
Senior Python Engineer with 8 years experience Professional QA Automation Engineer || Scraping Engi
Lagos, Nigeria
Only remote
JavaScript.NET FrameworkApplication Programming Interfaces (APIs)Artificial IntelligenceApache AirflowAmazon Web ServicesAmazon Elastic Compute CloudAmazon S3Data AnalysisGoogle App EnginesApplication Performance ManagementAuthenticationsTest AutomationUnit TestingMicrosoft Azure
.NET, Apache Airflow, AirFlow, DynamoDB, AWS EC2, EC2, AWS S3, Amazon Web Services (AWS), AWS, Amazon Web Services, AWS services, Hadoop, Apache Spark, Spark, application performance, API, AI, Test Automation, Automation testing, Backend, back-end, BIGData, BigQuery, Cloud, Cloud Platform, Cloud Service, cloud services, code reviews, CI/CD, CI/ CD, Cronjob, Dall-E, data sets, Data Analytics, Data Analysis, analytics, analyzed data, Data management platform, Data Mining, Data pipelines, data processing, Data Validation, data visualizations, data warehousing, data warehouse environment, Databases, database, Databricks, DevOps, DAGs, Django, Docker, ElasticSearch, XML, ETL, FastAPI, Flask, ChatGPT, Git, Github, GitLab CI, Google App Engine, Google Cloud Platform (GCP), GCP, Google cloud platform, Google Docs, Google Play, Heroku, Data Engineering, IT Consulting, JavaScript, Kaggle, Kubernetes, K8s, LDAP, Linux, Machine Learning, Matplotlib, Microsoft Azure, MS Excel, Microsoft SQL Server, MSSQL, Word, mobile App, MySQL, NumPy, OAuth2, OpenCV, Operating Systems, optimization algorithms, pandas, parsers, Parser, PostgreSQL, Postgres, Postman, Microsoft Power BI, Power BI, PowerBI, Programming Languages, PySpark, Pytest, Python, Python3, Python programming, RDBMS, RESTful API, Robotic Process Automation, RBAC, SQL, SQL databases, Scikit-learn, scripting, Selenium, Selenium Webdriver, Snowflake, software development practices, Version Control, solidity, SpaCy, Stable Diffusion, Tableau, UiPath, Unit Testing, Authentication, web-based, web scraping, web3
Experience
Professional experience5 - 10 years
Freelancer since2019
Languages
EnglishNative speakerFrenchBasic knowledge
Project history
Industry: IT Services (Digital Marketing)
December 2023 - May 2024
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 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, coding practices,
build/verification toolset, and solve customer problems.
Technologies: Python, FastAPI, Asyncio, PostgreSQL, Databricks, ChatGPT, Dall-E 3,
Stable Diffusion, AWS, Lamda, GCP, Pandas, PySpark, Postman
Python Engineer, Profile Import & Data Scraping
December 2023 - May 2024
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 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, coding practices,
build/verification toolset, and solve customer problems.
Technologies: Python, FastAPI, Asyncio, PostgreSQL, Databricks, ChatGPT, Dall-E 3,
Stable Diffusion, AWS, Lamda, GCP, Pandas, PySpark, Postman
Python Engineer, Profile Import & Data Scraping
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 as well as 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
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 as well as 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
Industry: E-Commerce
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, AirFlow, Snowflake, Python3, Pandas, AWS S3,
Hadoop, Spark, GitLab CI/CD, Kubernetes, LDAP.
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, AirFlow, Snowflake, Python3, Pandas, AWS S3,
Hadoop, Spark, GitLab CI/CD, Kubernetes, LDAP.