Blessing Angus

Software Engineer

https://talent.gravityer.com/blessing-angus

Member since June 21, 2026

Key Strengths

Demonstrated interest in data engineering and pipeline development through personal projects.
Proficiency in Python, as evidenced by its use across multiple projects.
Exposure to database technologies (PL/pgSQL) and orchestration tools (Dagster, DBT).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show initiative and a self-driven approach to learning and applying technical skills, which aligns with a proactive culture. The diversity of projects, particularly in data engineering, suggests an interest in problem-solving and building practical solutions. However, without team-based project experience or explicit collaboration details, assessing team fit is limited.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

HOD-junior-church-project

January 13, 2026 – Present

HOD-junior-church-project — repository

View Project

nomba-data-pipeline

November 9, 2025 – November 10, 2025

nomba-data-pipeline — repository

View Project

dagster_and_dbt

September 23, 2025 – September 23, 2025

dagster_and_dbt — repository

View Project

CDE_circle-4

September 4, 2025 – September 10, 2025

CDE_circle-4 — repository

View Project

CDE

August 28, 2025 – September 24, 2025

CDE — repository

View Project

DataAnalytics-Assessment

May 16, 2025 – May 19, 2025

DataAnalytics-Assessment — repository

View Project

nyc_citibike_pipeline

April 12, 2025 – August 28, 2025

nyc_citibike_pipeline — repository

View Project

sql-linter-poc

April 8, 2025 – April 9, 2025

sql-linter-poc — repository

View Project

data-viz-poc

March 21, 2025 – March 28, 2025

data-viz-poc — repository

View Project

ecommerce_elt_pipeline

January 1, 2025 – April 12, 2025

ecommerce_elt_pipeline — repository

View Project

Key Strengths

Demonstrated interest in data engineering and pipeline development through personal projects.
Proficiency in Python, as evidenced by its use across multiple projects.
Exposure to database technologies (PL/pgSQL) and orchestration tools (Dagster, DBT).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

Blessing Angus

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit