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Emmanuel C - Google Cloud Platform developerLD Talent logo

Emmanuel C

The star rating is a representation of the overall rating, calculated as the mean of the client satisfaction rating, the average client interview rating, and internal interview scores.

The client satisfaction rating is the weighted average of client ratings, with weights based on reviewed work hours. When no client rating exists, the approval fraction (approved vs. reviewed work hours) determines it.

If the client satisfaction rating exceeds the overall rating, it becomes the star rating. In the absence of client ratings, if the average client interview rating is higher than the overall rating, it becomes the star rating. If no data is available, the star rating defaults to the internal interview score.
Data Engineer Preferred Title
$15.00 /hr $ 12.0K /yr Hourly Rate and Yearly Salary
Overview Experiences Qualifications Vetting
Overview
Basic Summary
LD Talent History
  • Average Count of Messages/Day 0.9
  • Project Completion Rate 2/4
  • Interview Acceptance Rate 4/6
  • Timezone Overlap 25h PST, 50h UTC
Interview Scores (3.0/5)
  • Software Engineering Process 3.0/5
  • Design Practice 3.0/5
  • Design Theory 3.0/5
  • Technical Breadth 3.0/5
  • Logical Thinking 3.0/5
  • Technical Strength 3.0/5
  • System Design 3.0/5
  • Productivity and Responsiveness 3.0/5
  • Teamwork 3.0/5
  • Agile Development Process 3.0/5
  • Intellectual Merit 3.0/5
  • English Communication 3.0/5
  • Documentation 3.0/5
Talent's Devices
  • Desktop Linux
  • Phone iPhone
General
  • Member Since Dec 20, 2023
  • Profile Last Updated Dec 05, 2023
  • Last Activity Jan. 1, 2024, 6:48 a.m. UTC
  • Location Nigeria
Profile Summary
Data Engineer having hackathon experience and experience building data pipelines, ETL processes, and data modeling using SQL and data transformation tools, and providing quality data solutions that meet organization needs.
Skills
Total Experience: 2+ years
  • Google Cloud Platform (3E, 2Y, 1C)

    3 experiences, across 2 years, with 1 course
  • Apache Airflow (2E, 2Y, 1C)

    2 experiences, across 2 years, with 1 course
  • Python Selenium (2Y)

    2 years of experience
  • Google Bigquery (2Y, 1C)

    2 years of experience, with 1 course
  • Python (3E, 2Y, 1C)

    3 experiences, across 2 years, with 1 course
  • Leadership

  • dbt (1C)

    1 course
  • SQL (1C)

    1 course
  • PubSub

  • MongoDB (1C)

    1 course
  • Postgresql (1C)

    1 course
  • Data Engineering (1C)

    1 course
Weekly Availability
Timezone Overlap with 06 - 21 per Week: 25h PST, 50h UTC
Day
Monday
Tuesday
Wednesday
Thursday
Friday
UTC
08 - 18
08 - 18
08 - 18
08 - 18
08 - 18
PST
01 - 11
01 - 11
01 - 11
01 - 11
01 - 11
Vetting
  • Interview Data
  • Software Engineering Process
  • Design Practice
  • Design Theory
  • Technical Breadth
  • Logical Thinking
  • Technical Strength
  • System Design
  • Productivity and Responsiveness
  • Teamwork
  • Agile Development Process
  • Intellectual Merit
  • English Communication
  • Documentation
Experience
Data Engineer
Internship
Sep 2023 - Present
Chain Co-Op Company
Project: ETL pipeline
  • Python Selenium
  • Apache Airflow
  • Google Bigquery
  • Google Cloud Platform
  • I utilized Python selenium library and Apache Airflow to orchestrate and schedule complex data workflows, improving data pipeline reliability and automation.
  • I leveraged Google Cloud Platform services such as GCS, Google BigQuery, and Pub/Sub for data storage, streaming, and real-time processing and built a data pipeline that processes millions of data.
Data Engineer
Course Project
Oct 2023 - Oct 2023
AltSchool Africa Company
Project: Socrata API Data To BigQuery
  • Google Cloud Platform
  • Apache Airflow
  • dbt
  • SQL
  • Python
  • I utilized cloud-based tools such as BigQuery and Google Cloud Storage, combined with Python and API integration, to transfer data from a designated website(API) to the data warehouse in BigQuery.
  • I built the data pipeline in a Docker container and executed it with Apache Airflow Celery executor so it gives room for scalability.
  • I utilized dbt to perform SQL transformation on the data, to generate new insights from the data.
  • I utilized the cloud platform of Google Cloud Platform (GCP) in my data pipeline.
Github Links
  • https://github.com/krissemmy/Socrata-API-Data-To-BigQuery
Data Engineer
Internship
Jun 2023 - Jul 2023
Hamoye HQ Company
Project: Prediction of Chronic Kidney Disease
  • Python
  • Leadership
  • I led a team of Data Engineers/Scientists/Analysts, and Cloud and DevOps experts to develop an AI-driven model that accurately predicts chronic kidney disease in patients with a 95% success rate.
  • I developed a visual dashboard to communicate the predictive insights of the model to physicians, resulting in a 30% increase in early diagnosis of chronic kidney disease.
  • My Leadership and Python skills experienced a huge growth in this project.
Github Links
  • https://github.com/krissemmy/HDSC-Spring-23-Premier-Project-plotly-group
Data Engineer
Course Project
Jul 2023 - Jul 2023
AltSchool Africa Company
Project: Streaming_data_with_Apache_beam
  • Python
  • Google Cloud Platform
  • PubSub
  • I developed a sensor data processing pipeline using Apache Beam and Google PubSub. Which processes sensor readings, performs interpolation and filtering, and stores data in BigQuery.
  • I used Python and Google Cloud Platform services to do the entire project.
Github Links
  • https://github.com/krissemmy/Streaming_data_with_Apache_beam
Qualifications
Courses
Data Engineering
Nov 2022 - Dec 2023
AltSchool Africa
  • MongoDB
  • Google Cloud Platform
  • Apache Airflow
  • dbt
  • SQL
  • Python
  • Postgresql
  • Google Bigquery
  • Data Engineering
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